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Consultant Resume

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Long Beach, CaliforniA

SUMMARY:

  • 5+ years of industry experience in software development, data engineering, business intelligence, data science, data transformation and EDI.
  • Worked in projects for Fortune 500 companies like Confidential, Freescale Semiconductors and Confidential . Qualified with Master's degree in Computer Science.
  • Experienced in Hadoop, Spark, Sqoop, Pig, Hive, Yarn, Hbase, Solr, KNIME.
  • Experience in designing, constructing and maintaining data pipelines that interface with applications written in various languages such as Python and Java.
  • Hands - on experience implementing software and solutions in AWS environment.
  • Extensive working knowledge in Object-oriented design, distributed computing, advanced data structures and algorithms, real time analytics and large scale data processing.
  • Knowledge of software engineering best practices across the development lifecycle, including agile methodologies, coding standards, code reviews, source management, build processes, testing, and operations
  • Implement data structures using best practices in data modeling, ETL/ELT processes, and SQL, Oracle, Redshift, and OLAP technologies.
  • Experience working in a matrixed organization with cross-functional teams.
  • Strong verbal/written communication & data presentation skills, including an ability to effectively communicate with both business and technical teams.

TECHNICAL SKILLS:

Big Data: Cloudera CDH 5.x, Hadoop 2.x, Spark 1.x, 2.x, HDFS, MapReduce, Sqoop, Hive, Pig, Impala, Zookeeper, Oozie, Flume, Kafka, Hue,YARN, SOLR 4.x, 7.x

Cloud Technologies: AWS - EC2, ELB, S3, IAM, RDS, EMR

Data Analysis Tools: MATLAB, KNIME

Database: DB2, Oracle 8.0, MySQL, Microsoft SQL Server 2012, SPARQL, GUTS

Languages: JAVA, Python

Web Technologies: HTML5, CSS, JSON, Google Maps API, XML, RDF, RDFS, OWL

Ontology Editor: Protégé

Mainframe Technologies: COBOL, JCL, REXX, QUIKJOB, VSAM, Endevor, File Aid, CA7

PROFESSIONAL EXPERIENCE:

Confidential, Long beach, California

Consultant

  • Design a long-term Big Data Infrastructure roadmap, perform POC (proof of concepts), and choose the right tools and technologies to be used.
  • Move existing ETL jobs from traditional data warehouse processing to the big data processing platform, ensure that the jobs are designed to scale.
  • Design, build and launch efficient and reliable data pipeline solutions on Hadoop platform.
  • Use Sqoop to import/export data from RDBMS to Hadoop cluster and vice versa.
  • Worked with Avro and Parquet file formats and used various compression techniques to leverage the storage in HDFS.
  • Design and develop applications in Spark using Python.
  • Create tables, load data, execute queries in Hive and develop UDFs in Hive and Pig.
  • Evaluated KNIME as a tool for the Enterprise Data science Platform at Molina.
  • Installed KNIME Analytics platform on the virtual machine and configured the same to integrate with Apache Hadoop and Spark.
  • Designed and implemented workflows to verify if data can be ingested from the Hadoop ecosystem, processed and exported back, leveraging the power of Spark’s distributed computing.
  • Designed and implemented workflows to evaluate the integration of Apache Spark’s scalable machine learning library with KNIME.
  • Performed indexing of a collection using SOLR and implemented a search with Auto-suggest and Spellcheck on the same.
  • Participate in sprint planning, daily scrums and sprint reviews.
  • Presented recommendations based on evaluation of new tools and POCs to the senior leadership team.

Confidential

Technology Analyst

  • Design and development, Maintenance of business applications for Confidential .
  • Provide technical solutions for the problems faced by the business.
  • Execute enhancement projects for the client.
  • Perform testing on various modules of the project.
  • Provide analytical support to investigate and understand issues in the inventory management system.
  • Support cross-functional teams on the day-to-day execution of projects and initiatives
  • Work closely with senior leadership to understand business challenges, and provide data/analysis for better decision making

Confidential

Senior Software Engineer

  • Analyze the requirements provided by the Business Analysts and propose solutions, prepare test cases.
  • Standardize, document the analysis, maintain a repository that can be accessed by users across different geographical locations.
  • Communicating progress and direction within the team, stakeholders and leadership team
  • Develop, automate and document the reporting of business metrics that expose opportunities to improve the billing system across all the EU countries.
  • Work on EDI transactions like INVOIC, REDADV, ORDERS, X12 850, 810.
  • Interact with the service managers, client, Application Owners, Interface Support Groups through emails and calls.
  • Fix job failures and bugs in programs within the response level agreement.
  • Perform regular health check of the applications, automate manual tasks, performance tuning and prevent defects using Defect Tracking Tool.
  • Conduct ad hoc data analysis and data quality investigations
  • Support cross-functional teams on the day-to-day execution of projects and initiatives
  • Involved in end-to-end support and maintenance of the finance and marketing applications, enhancement projects for Freescale EMEA.

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