Mithilesh Sinha
Senior Data Engineer @Tata Consultancy Services
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WORK HISTORY
Senior Data Engineer @Tata Consultancy Services
IN
Requirement analysis, feasibility analysis and preparing LLD document, Responsible to create Business Requirement Document (BRD), Solution Design Document (SDD), Technical Design Document (TDD)•Design and implement scalable data processing pipelines using Apache Spark.•Optimize data workflows to improve performance and reduce costs.•Maintain and support large-scale data processing systems.•Development, support and implementation using Azure services.•Ensure data quality and integrity throughout the data processing lifecycle.•Client Interaction, Impact Analysis, Technical feasibility, documentation, Sprint planning and facilitating Scrum ceremonies in JIRA•Handling and organizing of tasks generated by the JIRA dashboard, which serves as main point of contact between data publishers and data consumer.•Analyzed the SQL scripts and designed the solution to implement using Spark SQL.
EDUCATION
Dayananda Sagar College Of Engineering, Bangalore
Master’s Degree, Computer Science
SKILLS
ABOUT MITHILESH SINHA
Documentation - Confluence and SharePoint•Technologies – Databricks, AI, Windsurf, PySpark, Apache Spark, Scala, Core Java, Hive, PostgreSQL, Hadoop,Linux/Unix, GRC and Flexcube•Tools - Maven, GIT, JIRA, TeamCity,GitHub, CD/CI Microsoft Azure, SQL Developer, PLSQL Developer, Tableau, SAP BO, GRC, RAD and Toad•IDE –IntelliJ, Impala•Database – Oracle 11g, 12c and 19c, Oracle PLSQL and SQL Developer•Development and Implementation of application using Spark and Scala•Agile way of development and delivery•Worked on the performance tuning of Sql and PLSQL queries.•Design and implemented CD/CI pipeline using Azure Data Factory•Involved in creating of various database objects like Packages, Procedures, Functions, Views, Cursors, and Triggers•Hands on experience in developing Spark core and Spark-SQL applications using IntelliJ IDE•Deploying the applications using Teamcity CI/CD pipeline to OpenShift deployment platform•Experience in working as part of agile team and familiar with Agile concepts.•Maximized application efficiency and performance quality with optimization techniques.
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