SUMMARY

• 8 years of experience as a Data Engineer, Data Analyst using Python, NumPy, Pandas, AWS, Postgres, Kafka, Cassandra, MongoDB.
• Hands on experience using Panda’s data frames, NumPy, MatPlotLib and seaborn to create correlation, bar, time series plots.
• Skilled in Tableau desktop for creating visualizations using bar charts, line charts, scatter plots, pie charts etc.
• Well versed wif big data on AWS cloud services i.e., EC2, S3, Glue, Athena, DynamoDB and RedShift.
• Good noledge on data modelling and creating schemas (Snowflake/ Star), creating tables (fact/ dimension) in data warehouse. Experienced wif 3NF, Normalization and denormalization of tables depending on use case Scenario.
• Has good experience in conducting exploratory data analysis, data mining and working wif Statistical models.
• Worked wif python and Bash scripting in automating tasks and creating data pipelines.
• Good Experience in creating and designing data ingestion pipelines using Apache Kafka.
• Data preprocessing techniques like handling missing data, categorical data (dummy variable handling), feature scaling.
• Experienced wif performing Query optimization in MySQL, Teradata using explain commands to increase Query performance.
• Proficiency in working wif SQL/ NoSQL like MongoDB, Cassandra, MySQL, and PostgreSQL.
• Exposure to various AWS services like Lambda, VPC, IAM, Load Balancing, Cloud Watch, SNS, SQS, Auto scaling, Load Balancing.
• Good experience wif data pipeline/workflow management tools like AWS Kinesis, Apache Airflow.
• Experienced in performing ETL operations using Apache Airflow DAG, Informatica Power center to load data into Data Warehouse.
• Has Knowledge on container Orchestration platform like Kubernetes and building images wif Docker and deploying on private registry.
• Experienced wif full software development life cycle, architecting scalable platforms, object - oriented programming, database design and Kanban methodologies.
• Experience in UNIX shell scripting for processing large volumes of data from varied sources and loading into databases like Teradata.
• Sub Queries, Stored Procedures, Triggers, Cursors, and Functions on MongoDB, MySQL, and PostgreSQL database.
• Thorough understanding of providing specifications using Waterfall and Agile Software methodology to be modeling systems and business processes.
• Has good experience in conducting exploratory data analysis, data mining and working wif Statistical models.
• Experience in Design and Development of ETL methodology for supporting Data Migration, data transformations &processing in a corporate wide ETL Solution using Teradata.
• Worked on various applications using python integrated IDEs like Jupyter, Spider, Eclipse, VSCode, IntelliJ, ATOM and PyCharm.

PROFESSIONAL EXPERIENCE

Sr. Data Engineer

Confidential, Nashville, TN

Responsibilities:

• Utilized AWS EMR wif spark to perform batch processing operations on various Big Data sources.
• Installed teh applications on AWS EC2 instances and configured on teh storage S3 buckets.
• Worked wif Linux EC2 instances and RDBMS databases.
• Created data pipeline to extract data from various API and ingested them in S3 Buckets using Apache Airflow.
• Deployed Lambda functions to be triggered on certain events in S3 Bucket to perform data transformation and load teh data in AWS Redshift.
• Experience in AWS EC2, configuring teh servers for Auto scaling and Elastic load balancing.
• Developed python and shell scripts to perform spark jobs for batch processing data from various sources.
• Working noledge of Amazon’s Elastic Cloud Compute (EC2) infrastructure for computational tasks and Simple Storage Service (S3) to store objects.
• Imported data from AWS S3 into Spark RDD, Performed transformations and actions on RDD.
• Extracted data using spark from AWS redshift and performed data Analysis.
• Developed POC to perform ETL operations using AWS glue to load Kinesis stream data into S3 buckets.
• Performed cleaning of data, data quality checks, data governance for incremental loads.
• Normalized data and created correlation plots, scatter plots to find underlying patterns.
• Filter and “clean” data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems.
• Testing dashboards, to ensure data is matching as per teh business requirements and if their are any discrepancies in underlying data.
• Created data pipelines using Step functions, implemented state machines and ran pipelines at different times to process data.
• Develop and implement databases, data collection systems, data analytics and other strategies dat optimize statistical efficiency and quality.
• Work wif management to prioritize business and information needs.

Environment: Python, AWS, Jira, GIT, CI/CD, Docker, Kubernetes, Web Services, Spark streaming API, Kafka, Cassandra, Python, MongoDB, JSON, Bash scripting, Linux, Rest API, SQL, Apache Airflow.

Python Developer / Data Engineer

Confidential, Negaunee, MI

Responsibilities:

• Implemented Spark using Python and utilized Data frames and Spark SQL API for processing and querying data.
• Developed Spark Applications by using python Driver and Implemented Apache Spark data processing project to handle data from various RDBMS and Streaming sources.
• Worked wif various unstructured data sources like parquet, json, csv etc. using spark.
• Developed preprocessing jobs using spark data frames to flatten json files.
• Experienced in working real time streaming wif Kafka as data pipeline using spark streaming module.
• Consumed Kafka messages and loaded data into Cassandra cluster deployed in containers.
• Ingested data into MySQL RDBMS data and performed transformations and then export teh transformed data to Cassandra.
• Assisted in Key space creation, Table creation, Secondary Index creation in Cassandra database.
• Worked wif various teams in deploying containers on site using Kubernetes to run Cassandra clusters in Linux Environment.
• Created various POC using pyspark module in python using MLlib.
• Good Knowledge on Kubernetes architecture like scheduler, pods, nodes, cataleptic. database.
• Experience in creating tables in Cassandra clusters, building images using docker and deploying teh images.
• Assisted in developing and creating schemas, tables for Cassandra cluster to ensure good query performance for teh front-end Application.
• Created airflow jobs wif snowflake operator to create fact and dimension tables in snowflake warehouse.
• Connected snowflake to Tableau to create data reporting dashboards.
• Worked on teh UNIX environment, developing bash shell scripts running CRON jobs.

Environment: Python, Spark, Kafka, JSON, GitHub, LINUX, Flask, Nginx, REST, CI CD, Kubernetes, Helm, MongoDB, Cassandra, Snowflake, Tableau.

Data Engineer

Confidential, St Louis, Missouri

Responsibilities:

• Involved in developing python scripts, informatica and other ETL tools for extraction, transformation, loading of data into Teradata.
• Worked wif a Team of Business Analysts in requirements gathering business analysis and project coordination in creating reports.
• Performed Unit and Integration Testing of Informatica Sessions, Batches and Target Data.
• Responsible for Using Autosys and workflow Manager Tools to schedule Informatica jobs.
• Responsible for creating Workflows and sessions using Informatica workflow manager and monitor teh workflow run and statistic properties on Informatica Workflow Monitor
• Developing complex Informatica mappings using different types of transformations like Connected and Unconnected LOOKUP transformations, Router, Filter, Aggregator, expression, Normalizer and Update strategy transformations for large volumes of Data.
• Involving Testing, Debugging, Validation and Performance Tuning of data warehouse, halp develop optimum solutions for data warehouse deliverables.
• Moving teh data from source systems to different schemas based on teh dimensions and fact tables by using teh slowly changing dimensions type two and type one.
• Interacted wif key users and assisted them wif various data issues, understood data needs and assisted them wif Data analysis.
• Performed Query optimization for various SQL tables using Teradata explain command.
• Developed procedures to populate teh customer data warehouse wif transaction data, cycle and monthly summer data.
• Experienced in Linux environment and scheduling jobs, file transfers.
• Very Good Understanding of Database skew, PPI, Join methods, aggregate and hash.

Environment: Informatica power center, Teradata, XML, Flat files, Cron Job, Linux, Bash shell, Python scripting, Power BI.

Spark Developer

Confidential

Responsibilities:

• Imported required modules such as Keras and NumPy on Spark session, also created directories for data and output.
• Read train and test data into teh data directory as well as into Spark variables for easy access and proceeded to train teh data based on a sample submission.
• Teh images upon being displayed are represented as NumPy arrays, for easier data manipulation all teh images are stored as NumPy arrays.
• Created a validation set using Keras2DML in order to test whether teh trained model was working as intended or not.
• Defined multiple halper functions dat are used while running teh neural network in session. Also defined placeholders and number of neurons in each layer.
• Created neural networks computational graph after defining weights and biases.
• Created a TensorFlow session which is used to run teh neural network as well as validate teh accuracy of teh model on teh validation set.
• After executing teh program and achieving acceptable validation accuracy a submission was created dat is stored in teh submission directory.
• Executed multiple SparkSQL queries after forming teh Database to gather specific data corresponding to an image.

Environment: Scala, Python, PySpark, Spark, Spark ML Lib, Spark SQL, TensorFlow, NumPy, Keras, PowerBI.

Data Analyst

Confidential 

Responsibilities:

• Created data visualizations and developed dashboard, stories in Power BI.
• Utilized various charts like scatterplot, bar, pie, Heatmaps in Power BI for data analysis.
• Analyzed various KPI results frequently to assist in development of performance improvement concepts.
• Experience in using Excel pivot chart, VBA tools to create customized reports and analysis.
• Assisted wif sizing query optimization, buffer tuning, backup and recovery, installations, upgrades and security including other administration functions as part of profiling plan.
• Ensured production data being replicated into data warehouse wifout any data anomalies from teh processing databases.
• Analyzed code to improve query optimization and to verify dat tables are using indexes.
• Created, tested MySQL programming, forms, reports, triggers and procedures for teh Data Warehouse.
• Involved in troubleshooting and fine-tuning of databases for its performance and concurrency.
• Automated teh code release process, bringing teh total time for code releases from 8 hours to 1 hour.
• Developed a fully automated continuous integration system using Git, MySQL and custom tools developed in Python and Bash.
• Working experience Power BI Desktop to generate teh reports by writing teh SQL queries.
• Played a key role in a department wide transition from Subversion to Git, which resulted in an increase in efficiency for teh development community.

Environment: Git, Tableau, MySQL, Python, Bash, VBA, Excel.