SUMMARY

• Overall, 8+ years of technical IT experience in all phases of Software Development Life Cycle (SDLC) with skills in data analysis, design, development, testing and deployment of software systems.
• 6+ yearsof industrial experience in Big Data analytics,Data manipulation, using Hadoop Eco system toolsMap - Reduce, HDFS, Yarn/MRv2, Pig, Hive, HDFS, HBase, Spark, Kafka, Flume, Sqoop, Flume, Oozie, Avro, Sqoop,AWS,Spring Boot, Spark integration with Cassandra, Avro, Solr and Zookeeper.
• Experience in developing data pipelines using AWS services including EC2, S3, Redshift, Glue, Lambda functions, Step functions, CloudWatch, SNS, DynamoDB, and SQS.
• Proficiency in multiple databases like MongoDB, Cassandra, MySQL, ORACLE, and MS SQL Server. Worked on different file formats like delimited files, avro, json and parquet. Docker container orchestration using ECS, ALB and lambda.
• Extensive knowledge onQlikView Enterprise Management Console (QEMC), QlikView Publisher, QlikView Web Server.
• Implemented a batch process to load teh heavy volume data loading using Apache Dataflow framework using Nifi in Agile development methodology.
• Worked as team JIRA administrator providing access, working assigned tickets, and teaming with project developers to test product requirements/bugs/new improvements.
• CreatedSnowflake Schemasby normalizing teh dimension tables as appropriate and creating a Sub Dimension named Demographic as a subset to teh Customer Dimension.
• Experienced in Pivotal Cloud Foundry (PCF) on Azure VM's to manage teh containers created by PCF.
• Hands on experience in test driven development(TDD),Behavior driven development(BDD)and acceptance test driven development (ATDD)approaches.
• Managing Database, Azure Data Platform services (Azure Data Lake (ADLS), Data Factory (ADF), Data Lake Analytics, Stream Analytics, Azure SQL DW, HDInsight/Databricks, NoSQL DB), SQL Server, Oracle,Data Warehouse etc. Build multiple Data Lakes.
• Extensive experience in Text Analytics, generating data visualizations using R, Python and creating dashboards using tools like Tableau, PowerBI.
• Worked with Google Compute Cloud Data Flow and Big Query to manage and move data within a 200 Petabyte Cloud Data Lake for GDPR Compliance. Also designed star schema in Big Query.
• Extensive programming expertise in designing and developing web-based applications using Spring Boot, Spring MVC, Java servlets, JSP, JTS, JTA, JDBC and JNDI.
• Experience in MVC and Microservices Architecture with Spring Boot and Docker, Swamp.
• Expertise in Java programming and have a good understanding on OOPs, me/O, Collections, Exceptions Handling, Lambda Expressions, Annotations
• Provided full life cycle support to logical/physical database design, schema management and deployment. Adept at database deployment phase with strict configuration management and controlled coordination with different teams.
• Experience in Spring Frameworks like Spring Boot, Spring LDAP, Spring JDBC, Spring Data JPA, Spring Data REST
• Experience in writing code in R and Python to manipulate data for data loads, extracts, statistical analysis, modeling, and data munging.
• Familiar with latest software development practices such as Agile Software Development, Scrum, Test Driven Development (TDD) and Continuous Integration (CI).
• Utilized Kubernetes and Docker for teh runtime environment for teh CI/CD system to build, test, and deploy. Experience in working on creating and running docker images with multiple microservices.
• Utilized analytical applications like R, SPSS, Rattle and Python to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into risk management and marketing strategies that drive value.
• Extensive hands-on experience in using distributed computing architectures such as AWS products (e.g. EC2, Redshift, EMR, and Elastic search), Hadoop, Python, Spark and TEMPeffective use of Azure SQL Database, MapReduce, Hive, SQL and PySpark to solve big data type problems.
• Strong experience in Microsoft Azure Machine Learning Studio for data import, export, data preparation, exploratory data analysis, summary statistics, feature engineering, Machine learning model development and machine learning model deployment into Server system.
• Proficient inStatistical MethodologiesincludingHypothetical Testing,ANOVA,Time Series,Principal Component Analysis,Factor Analysis,Cluster Analysis,Discriminant Analysis.
• Expertise in transforming business resources and requirements intomanageable data formatsandanalytical models,designing algorithms,building models,developing data miningandreporting solutionsthat scale across a massive volume of structured and unstructured data.
• Worked with various text analytics libraries like Word2Vec, GloVe, and LDA and experienced with Hyper Parameter Tuning techniques like Grid Search, Random Search, model performance tuning using Ensembles and Deep Learning.
• Skilled in System Analysis, E-R/Dimensional Data Modeling, Database Design and implementing RDBMS specific features.
• Knowledge of working with Proof of Concepts (PoC's) and gap analysis and gatheird necessary data for analysis from different sources, prepared data for data exploration using data manipulation and Teradata.
• Well experience in Normalization and De-Normalization techniques for optimum performance in relational and dimensional database environments.
• Experience in developing customizedUDF’sin Python to extend Hive and Pig Latin functionality.
• Expertise in designing complex Mappings and have expertise in performance tuning and slowly changing Dimension Tables and Fact tables
• Extensively worked with Teradata utilities Fast export, and Multi Load to export and load data to/from different source systems including flat files.
• Experienced in building Automation Regressing Scripts for validation of ETL process between multiple databases like Oracle, SQL Server, Hive, and Mongo DB usingPython.
• Proficiency in SQL across several dialects (we commonly write MySQL, PostgreSQL, Redshift, SQL Server, and Oracle)
• Developed JSON Scripts for deploying teh Pipeline in Azure Data Factory (ADF) that process teh data using teh SQL Activity. Build an ETL which utilizes spark jar inside which executes teh business analytical model.
• Excellent communication skills. Successfully working in fast-paced multitasking environment both independently and in collaborative team, a self-motivated enthusiastic learner.
• Skilled in performing data parsing, data ingestion, data manipulation, data architecture, data modelling and data preparation with methods including describe data contents, compute descriptive statistics of data, regex, split and combine, Remap, merge, subset, reindex, melt and reshape.

TECHNICAL SKILLS

Big Data Ecosystem: HDFS, MapReduce, HBase, Pig, Hive, Sqoop, KafkaFlume, Cassandra, Impala, Oozie, Zookeeper, MapR, Amazon Web Services (AWS), EMR

Machine Learning Classification Algorithms: Logistic Regression, Decision Tree, Random Forest, K-Nearest Neighbor (KNN), Gradient Boosting Classifier, Extreme Gradient Boosting Classifier, Support Vector Machine (SVM), Artificial Neural Networks (ANN), Naïve Bayes Classifier, Extra Trees Classifier, Stochastic Gradient Descent, etc.

Cloud Technologies: AWS, Azure

IDE’s: IntelliJ, Eclipse, Spyder, Jupyter

Ensemble and Stacking: Averaged Ensembles, Weighted Averaging, Base Learning, Meta Learning, Majority Voting, Stacked Ensemble, AutoML - Scikit-Learn, MLjar, etc.

Databases: Oracle 11g/10g/9i, MySQL, DB2, MS-SQL Server, HBASE

Programming / Query Languages: Java, SQL, Python Programming (Pandas, NumPy, SciPy, Scikit-Learn, Seaborn, Matplotlib, NLTK), NoSQL, PySpark, PySpark SQL, SAS, R Programming (Caret, Glmnet, XGBoost, rpart, ggplot2, sqldf), RStudio, PL/SQL, Linux shell scripts, Scala.

Data Engineer/Big Data Tools / Cloud / Visualization / Other Tools: Databricks, Hadoop Distributed File System (HDFS), Hive, Pig, Sqoop, MapReduce, Spring Boot, Flume, YARN, Hortonworks, Cloudera, Mahout, MLlib, Oozie, Zookeeper, etc. AWS, Azure Databricks, Azure Data Explorer, Azure HDInsight, Salesforce, NI-FI, Google Shell, Linux, Big Query, Bash Shell, Unix, Tableau, Power BI, SAS, We Intelligence, Crystal Reports, Dashboard Design.

PROFESSIONAL EXPERIENCE

Confidential, Santa Fe, NM

Data Engineer

Responsibilities:

• Performed data analysis and developed analytic solutions. Data investigation to discover correlations / trends and teh ability to explain them.
• Worked with Data Engineers, Data Architects, to define back-end requirements for data products (aggregations, materialized views, tables - visualization)
• Developed frameworks and processes to analyze unstructured information. Assisted in Azure Power BI architecture design
• Experienced with machine learning algorithm such as logistic regression, random forest, XGboost, KNN, SVM, neural network, linear regression, lasso regression and k - means
• Implemented Statistical model and Deep Learning Model (Logistic Regression, XGboost, Random Forest, SVM, RNN, and CNN).
• Designing and Developing Oracle PL/SQL and Shell Scripts, Data Import/Export, Data Conversions and Data Cleansing.
• Architect & implement medium to large scale BI solutions on Azure using Azure Data Platform services (Azure Data Lake, Data Factory, Data Lake Analytics, Stream Analytics
• Performing data analysis, statistical analysis, generated reports, listings and graphs using SAS tools, SAS/Graph, SAS/SQL, SAS/Connect and SAS/Access.
• Developing Spark applications using Scala and Spark-SQL for data extraction, transformation, and aggregation from multiple file formats. Using Kafka and integrating with teh Spark Streaming. Developed data analysis tools using SQL andPythoncode.
• Authoring Python (PySpark) Scripts for custom UDF’s for Row/ Column manipulations, merges, aggregations, stacking, data labeling and for all Cleaning and conforming tasks. Migrate data from on-premises to AWS storage buckets.
• Agile methodology including test-driven and pair-programming concept.
• Created functions and assigned roles in AWS Lambda to run python scripts, and AWSLambda using java to perform event driven processing.
• Involved in Installation QlikView 12.0 SR5, Nprinting 16/17 in both publisher and server.
• Involved in testing dashboards of Qlikview 11.2 version to migrate it to Qlikview 12.1. Extensive experience with Extraction, Transformation, Loading (ETL) process using Ascential Data Stage EE/8.0/
• Developed a python script to transfer data, REST API’s and extract data from on-premises to AWS S3. Implemented Micro Services based Cloud Architecture using Spring Boot.
• Worked on Ingesting data by going through cleansing and transformations and leveraging AWS Lambda, AWS Glue and StepFunctions.
• Created yaml files for each data source and including glue table stack creation. Worked on a python script to extract data from Netezza databases and transfer it to AWS S3
• Developed Lambda functions and assigned IAM roles to run python scripts along with various triggers (SQS, EventBridge, SNS)
• Writing UNIX shell scripts to automate teh jobs and scheduling cron jobs for job automation using commands with Crontab. Created a Lambda Deployment function, and configured it to receive events from S3 buckets
• Built teh machine learning model include: SVM, random forest, XGboost to score and identify teh potential new business case with Python Scikit-learn.
• Experience in Converting existing AWS Infrastructure to Server less architecture(AWS Lambda, Kinesis),deploying viaTerraformand AWS Cloud Formation templates.
• Worked onDocker containerssnapshots, attaching to a running container, removing images, managing Directory structures and managing containers.
• Experienced in day - to-day DBA activities includingschema management, user management(creating users, synonyms, privileges, roles, quotas, tables, indexes, sequence),space management(table space, rollback segment),monitoring(alert log, memory, disk me/O, CPU, database connectivity),scheduling jobs, UNIX Shell Scripting.
• Developed normalizedLogicalandPhysicaldatabase models to design OLTP system for insurance applications.
• Coordinated with different data providers to source teh data and build teh Extraction, Transformation, and Loading (ETL) modules based on teh requirements to load teh data from source to stage and performed Source Data Analysis.
• Analyzed existing Data Model and accommodated changes according to teh business requirements.
• Decommission 2 data marts and expanded teh data model of an existing Oracle DW used as their Data Mining and Metrics repository.
• Implemented a top-down/bottom-up analysis approach to assess teh current warehouse environment and extend teh to-be data models.
• Created dimensional model for teh reporting system by identifying required dimensions and facts usingErwin
• Used forward engineering to create a Physical Data Model withDDLthat best suits teh requirements from teh Logical Data Model.
• Developed complexTalend ETL jobsto migrate teh data fromflat filesto database. Pulled files frommainframe into Talendexecution server using multipleftpcomponents.
• Developed complexTalend ETL jobstomigratethe data from flat files to database. DevelopedTalend ESBservices and deployed them onESBservers on different instances.
• Architect and design serverless application CI/CD by using AWS Serverless (Lamda) application model.
• Developedstored procedures/views in Snowflakeand use inTalendfor loading Dimensions and Facts.
• Developed merge scripts toUPSERTdata intoSnowflakefrom an ETL source.

Environment: Hadoop, Map Reduce, HDFS, Hive, Ni-fi, Spring Boot, Cassandra, Swamp, Data Lake, Sqoop, Oozie, SQL, Kafka, Spark, Scala, Java, AWS, GitHub, Talend Big Data Integration, Solr, Impala.

Confidential, Chicago, Illinois

Data Engineer

Responsibilities:

• Transforming business problems into Big Data solutions and define Big Data strategy and Roadmap. Installing, configuring, and maintaining Data Pipelines
• Developed thefeatures,scenarios,step definitionsforBDD (Behavior Driven Development)andTDD (Test Driven Development)usingCucumber, Gherkinandruby.
• Designing teh business requirement collection approach based on teh project scope and SDLC methodology.
• Creating Pipelines in ADF using Linked Services/Datasets/Pipeline/ to Extract, Transform, and load data from different sources like Azure SQL, Blob storage, Azure SQL Data warehouse, write-back tool and backwards.
• Files extracted from Hadoop and dropped on daily hourly basis intoS3. Working with Data governance and Data quality to design various models and processes.
• Experience in deploying teh Spring Boot Microservices to Pivotal Cloud Foundry (PCF) using build pack and Jenkins for continuous integration, Deployments in Pivotal Cloud Foundry (PCF) and binding of Services in Cloud and Installed Pivotal Cloud Foundry (PCF) on Azure to manage teh containers created by PCF.
• Analyzed clickstream data from Google analytics with Big Query. Designed APIs to load data from Omniture, Google Analytics, and Google Big Query.
• Maintained JIRA team and program management review dashboards and maintained COP account and JIRA team sprint metrics reportable to customer and SAIC division management
• Maintained JIRA team Confluence System Engineering pages that included: Process Flow Management, Team Requirements, Roles and Responsibilities, and COP User Metrics.
• Involved in all teh steps and scope of teh project reference data approach to MDM, have created a Data Dictionary and Mapping from Sources to teh Target in MDM Data Model.
• Experience managing Azure Data Lakes (ADLS) and Data Lake Analytics and an understanding of how to integrate with other Azure Services. Knowledge of USQL
• Responsible for working with various teams on a project to develop analytics-based solution to target customer subscribers specifically.
• Created functions and assigned roles inAWS Lambdato run python scripts, andAWS Lambdausing java to perform event driven processing. Created Lambda jobs and configured Roles usingAWS CLI.
• Built a new CI pipeline. Testing and deployment automation with Docker, Swamp, Jenkins and Puppet. Utilized continuous integration and automated deployments with Jenkins and Docker.
• Data visualization:Pentaho, Tableau, D3. Have knowledge of Numerical optimization, Anomaly Detection and estimation, A/B testing, Statistics, and Maple. Have big data analysis technique using Big data related techniques me.e.,Hadoop, MapReduce, NoSQL, Pig/Hive, Spark/Shark, MLlibandScala, numpy, scipy, Pandas, scikit-learn.
• UtilizedSpark, Scala, Hadoop, HBase, Cassandra, MongoDB, Kafka, Spark Streaming, MLLib, and Pythonand utilized teh engine to increase user lifetime by 45% and triple user conversations for target categories.
• Used ApacheSpark Data frames, Spark-SQL, Spark MLLibextensively and developing and designing POC's using Scala, Spark SQL and MLlib libraries.
• Data Integrationingests, transforms, and integrates structured data and delivers data to a scalable data warehouse platform using traditional ETL (Extract, Transform, and Load) tools and methodologies to collect of data from various sources into a single data warehouse.
• Applied variousmachine learning algorithmsand statistical modeling likedecision trees, text analytics, natural language processing (NLP),supervised and unsupervised, regression models, social network analysis, neural networks, deep learning, SVM, clusteringto identify Volume usingscikit-learn packageinpython, R, and Matlab. Collaborate withData Engineers and Software Developersto develop experiments and deploy solutions to production.
• Create and publish multiple dashboards and reports usingTableau server and work onText Analytics, Naive Bayes, Sentiment analysis, creating word cloudsand retrieving data fromTwitterand othersocial networking platforms.
• Work on data that was a combination of unstructured and structured data from multiple sources and automate teh cleaning usingPython scripts.
• Created User manual on using Atlassian Products (Jira/Confluence) and trained end users project wise.
• Implemented teh Atlassian Stash application as teh SCM tool of choice for central repository management
• Designed and developed architecture for data services ecosystem spanning Relational, NoSQL, and Big Data technologies.
• Used SQL Server Integrations Services (SSIS) for extraction, transformation, and loading data into target system from multiple sources
• Involved inUnit Testingthe code and provided teh feedback to teh developers. PerformedUnit Testingof teh application by usingNUnit.
• Designed both 3NF data models for OLTP systems and dimensional data models using star and snowflake Schemas.
• Created and maintained SQL Server scheduled jobs, executing stored procedures for teh purpose of extracting data from Oracle into SQL Server. Extensively used Tableau for customer marketing data visualization
• Optimizealgorithmwithstochastic gradient descent algorithmFine-tuned thealgorithm parameterwith manual tuning and automated tuning such asBayesian Optimization.
• Strong understanding ofenterprise data warehouse architecture and big data. Responsible for data model design using ERwin/Power Designer/Cast.
• Built strategic relationship with vendors and reduced customization and implementation cost by 50.
• Communicated with CxOs to align business strategy and increased customer base.
• Architected data processes and reduced latency to close to real time. Processing time was reduced from 50 minutes to 10 seconds.
• DevelopedData Mapping, Data Governance, TransformationandCleansingrules for teh Master Data Management Architecture involving OLTP, ODS and OLAP
• Migrated Database from SQL Databases (Oracle and SQL Server) to NO SQL Databases (Cassandra/MONGODB);
• Studied teh existing OLTP systems (3NF models) and created facts and dimensions in teh data mart.Worked with different cloud - based data warehouse like SQL, Redshift.
• Write research reports describing teh experiment conducted, results, and findings and make strategic recommendations to technology, product, and senior management. Worked closely with regulatory delivery leads to ensure robustness in prop trading control frameworks using Hadoop, Python Jupyter Notebook, Hive and NoSql.
• Wrote production level Machine Learning classification models and ensemble classification models from scratch using Python and PySpark to predict binary values for certain attributes in certain time frame.
• Performed all necessary day-to-day GIT support for different projects, Responsible for design and maintenance of teh GIT Repositories, and teh access control strategies.

Environment: Hadoop, Kafka, Spark, Sqoop, Docker, Swamp, Big Query, Spark SQL, TDD, Spark-Streaming, Hive, Scala, pig, NoSQL, Impala, Oozie, Hbase, Data Lake, Zookeeper.

Confidential, Tampa, FL

Data Scientist/ R Programmer

Responsibilities:

• Gatheird business requirements, definition and design of teh data sourcing, worked with teh data warehouse architect on teh development of logical data models.
• Created sophisticated visualizations, calculated columns and custom expressions anddeveloped Map Chart, Cross table, Bar chart, Tree map and complex reports which involves Property Controls, Custom Expressions.
• Investigated market sizing, competitive analysis and positioning for product feasibility. Worked on Business forecasting, segmentation analysis and Data mining.
• Automated Diagnosis of Blood Loss during Emergencies and developed Machine Learning algorithm to diagnose blood loss.
• Extensively used Agile methodology as teh Organization Standard to implement teh data Models. Used Micro service architecture with Spring Boot based services interacting through a combination of REST and Apache Kafka message brokers.
• Created several types of data visualizations using Python and Tableau. Extracted Mega Data from AWS using SQL Queries to create reports.
• Performed reverse engineering using Erwin to redefine entities, attributes, and relationships existing database.
• Analyzed functional and non-functional business requirements and translate into technical data requirements and create or update existing logical and physical data models. Developed a data pipeline using Kafka to store data into HDFS.
• Performed Regression testing for Golden Test Cases from State (end to end test cases) and automated teh process usingpythonscripts.
• DevelopedSparkjobs using Scala for faster real-time analytics and usedSparkSQL for querying
• Generated graphs and reports using ggplot package in RStudio for analytical models. Developed and implemented R and Shiny application which showcases machine learning for business forecasting.
• Developed predictive models using Decision Tree, Random Forest, and Naïve Bayes.
• Used pandas, NumPy, seaborne, SciPy, Matplotlib, Scikit-learn, NLTK in Python for developing various machine learning algorithms. Expertise inR, Matlab, pythonand respective libraries.
• Research on Reinforcement Learning and control (TensorFlow, Torch), andmachinelearning model (Scikit-learn).
• Hands on experience in implementing Naive Bayes and skilled inRandom Forests, Decision Trees, Linear,and Logistic Regression, SVM, Clustering, Principal Component Analysis.
• Performed K-means clustering, Regression andDecision Treesin R. Worked on data cleaning and reshaping, generated segmented subsets using NumPy and Pandas in Python.
• Implemented various statistical techniques to manipulatethe datalike missingdataimputation, principal component analysis and sampling.
• Worked on R packages to interface with Caffe Deep Learning Framework. Perform validation on machine learning output from R.
• Applied different dimensionality reduction techniques like principal component analysis (PCA) and t-stochastic neighborhood embedding (t-SNE) on feature matrix.
• Performed univariate and multivariate analysis on teh data to identify any underlying pattern in teh data and associations between teh variables.
• Responsible for design and development of Python programs/scripts to prepare transform and harmonize data sets in preparation for modeling.
• Worked with Market Mix Modeling to strategize teh advertisement investments to better balance teh ROI on advertisements.
• Implemented clustering techniques like DBSCAN, K-means, K-means++ and Hierarchical clustering for customer profiling to design insurance plans according to their behavior pattern.
• Used Grid Search to evaluate teh best hyper-parameters for my model and K-fold cross validation technique to train my model for best results.
• Worked with Customer Churn Models including Random forest regression, lasso regression along with pre-processing of teh data.
• Used Python 3.X (NumPy, SciPy, pandas, scikit-learn, seaborn) and Spark 2.0 (PySpark, MLlib) to develop variety of models and algorithms for analytic purposes.
• Performed Data Cleaning, features scaling, features engineering using pandas and NumPy packages in python and build models using deep learning frameworks
• Implemented application of various machine learning algorithms and statistical modeling like Decision Tree, Text Analytics, Sentiment Analysis, Naive Bayes, Logistic Regression and Linear Regression using Python to determine teh accuracy rate of each model
• Implemented Univariate, Bivariate, and Multivariate Analysis on teh cleaned data for getting actionable insights on teh 500-product sales data by using visualization techniques in Matplotlib, Seaborn, Bokeh, and created reports in Power BI.

Environment: Spark, YARN, HIVE, Pig, Scala, Mahout, NiFi, TDD, Pythofn, Spring Boot, Hadoop, Azure, Dynamo DB, Kibana, NOSQL, Sqoop, MYSQL.

Confidential, Rochester, MN

Java Developer

Responsibilities:

• Developed front-end screens using JSP, HTML, CSS, JavaScript, JSON.
• Developed SCM by using teh JSP/HTML like one form for each functionality user interface, standard validations using teh JavaScript, Servlets used as teh controllers for teh business logic and business logic using JDBC, XML parsing techniques etc. using MVC.
• Developed Single Sign On (SSO) functionality, through which we can run SCM from Oracle Applications.
• Developed Server-Side components for teh business services for creating Items, BOM, Sourcing Rules, and substitute.
• Involved in developing teh Routings and configured Routing Program as scheduled teh concurrent request.
• Involved in raising teh Notifications to Oracle Users through Mailing Concept for intimating to start teh next process using workflow.
• Extensively worked on creating teh setups for Organizations, Templates, Concurrent Requests, Cross Reference Types, User Creations, assigning responsibilities, creating value sets, Descriptive Flex Fields etc., in Oracle Applications.
• Used CVS as version control system.
• Implemented Struts MVC design pattern and front controller pattern along with Action Servlet as front controller for this application.

Environment: Java, JDBC, Servlets, Oracle, JSP, XML, UML, HTML, CSS, JavaScript, JSON, UNIX, CVS, DB2 and Ionic Framework, Struts MVC, Action Servlet.

Confidential

Java Developer

Responsibilities:

• Designed use case diagrams, class diagrams and sequence diagrams using Microsoft Visio tool.
• Extensively used Spring IOC, Hibernate, Core Java such as Exceptions, Collections, etc.
• Deployed teh applications on IBM Web Sphere Application Server. Worked on Core Java concepts such as OOP Concepts, Collections Framework, and Exception Handling, File me/o and concurrency, Multi-Threading.
• Utilized various utilities like Struts Tag Libraries, JSP, JavaScript, HTML, & CSS.
• Build and deployed war file in WebSphere application server.
• Implemented Patterns such as Singleton, Factory, Facade, Prototype, Decorator, Business Delegate and MVC.
• Involved in frequent meeting with clients to gather business requirement & converting them to technical specification for development team.
• Adopted agile methodology with pair programming technique and addressed issues during system testing.
• Involved in Bug fixing and Enhancement phase, used find bug tool.
• Version Controlled using SVN.
• Developed application in Eclipse IDE. Experience in developingspring Bootapplications for transformations.
• Primarily involved in front-end UI using HTML5, CSS3, JavaScript, jQuery, and AJAX.
• Used struts framework to build MVC architecture and separate presentation from business logic.
• Involved in rewriting middle-tier on WebLogic application server. Actively involved in Code-Reviews & Coding Standards, Unit testing & Integration Testing.
• Developed teh administrative UI using Angular.js and Ext JS.
• Generated Stored Procedures using PL/SQL language.

Environment: JDK1.5, JSP, Servlet, EJB, Spring Boot, JavaScript, Hibernate, JQuery, Struts, Design Patterns, HTML, CSS, JMS, XML, Apache, Oracle ECM, Struts, Webservice, SOAP.