Bharath

Project aimed at converting the batch mode of data ingestion and processing to micro services based architecture.

• Improved efficiency in data ingestion following microservice architecture & asynchronous
• Owned design, development, testing & documentation of migrating python 2.7 lambda to Python 3.8 lambda
• Designed and implemented a data validation tool in Rust that scans a billion rows of data every month

• Architected, designed & developed Spark structured streaming – stores real time inventory data
• Designed & Developed scan & Pay Mobile check out confirmation module placed in 7-Eleven stores using Raspberry PI
• Automated few file transfers from vendors FTP sites using Apache NIFI reducing related environment dependency & easy maintenance

• Improved performance of form analytics by bringing down time to create similarity of one single form with 30,000 other forms from 85 seconds to 65 seconds.

• Eased BA’s, Architects, & clients by explaining data anomalies with Pandas charts & visualization tools reducing many 1 hour meetings to 30 minutes
• Identified gaps between business requirements and application capabilities and recommend action steps. Helped avoid many development iterations thorough requirement analysis

• Successfully delivered modernization of Metlife Billing system from Legacy application to Python distributed application.
• Managed more than 20 calls per day with variety of stakeholders, handling few sub projects worth $500K
• Main liaison between all product teams, offshore & client, stake holders and reported to client VP level.

Professional Experience

• Developed Spark ETL pipelines in Azure Databricks environment. Data from vendors, Public API’s are stored in Hive & SQL Server.
• Did Feature Engineering for Basket Analysis, profit to sales Analysis and linear regression.
• Have developed lot of tools & API’s easing daily activities to provide data to other teams, automated data ingestion monitoring and the like. One to mention is API to connect to ADLS via key vault, access hive data using Simba JDBC etc.
• Did Hive Meta store setup in MS SQL server Environment.
• Extensive unit testing in both py-test & unit testing.
• Have 3 years of flask backend development.
• Good with parsing and extracting data using Beautiful Soup.
• Contribute in Agile meetings, Sprint planning. Document enhancements and involve with internal/external teams on best way to develop, test strategy.
• Performs Design review, Code review, Test results review. Have received appreciation from the ISO auditor for the meaningful reviews given and the impacts it created while in Cognizant, Coimbatore.
• COBOL/DB2 Application developer from 2008 until 2014.

Awards & Honors

• PMP Certified – 2019.
• Awarded “Star of the Quarter” twice in Cognizant.
• Completed MongoDB for developers course.
• LOMA certified – Completed LOMA 280, LOMA 290. Secured above 97% in both these exams.

Education

• BE – Electronics & Communication, 2003 – 2007

Anna University, Chennai – First class with Distinction – 85%