ETL Developer with 6+ years in Data Warehousing and Talend
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Assessing your cultural and operational fit
Total 6.5 years in IT industry and result-oriented professional with 3+ years of development experience in Data Warehousing using Talend. Good Understanding of Dimensional Modelling like Star Schema, Snowflake Schemas. Experience in building and unit testing of deliverables with quality and without any scheduled variation. Experience in ETL methodology for performing data Extraction, Transformation and Loading from Talend from wide variety of source systems like Oracle, SQL server and non- relational sources like flat files and XML files. Knowledge in SQL.
GBTU, Lucknow
Bachelor of Technology · Electronics & Communication
August 1, 2007 – June 30, 2011
Teamware Solutions a division of Quantum Leap Consulting pvt.Ltd (for client TCS)
Talend Developer
February 1, 2024 – August 31, 2024
India
GlobalLogic Technologies Limited
Talend Developer
January 1, 2022 – September 30, 2023
India
GlobalLogic Technologies Limited
Talend Developer
September 1, 2020 – December 31, 2021
India
GlobalLogic Technologies Limited
Senior Analyst
August 1, 2017 – August 31, 2020
India
Cultural Fit Analysis
The candidate has worked with multiple clients (TCS, Pfizer, Eaton, Google) through GlobalLogic Technologies and Teamware Solutions, indicating adaptability to different project environments and client requirements. The consistent focus on ETL development and data warehousing aligns well with the target role. The breadth of skills within the ETL domain (data integration, data cleansing, dimensional modeling, performance tuning) suggests a well-rounded profile for a dedicated ETL developer.
Soft Skills & Operational Fit
The candidate's resume highlights good learning ability, problem-solving skills, and the capacity to work both independently and in a team. Participation in daily/weekly/monthly meetings suggests good operational fit for collaborative environments. The experience as a Senior Analyst prior to ETL roles indicates a foundation in data analysis and requirements gathering, which are beneficial for understanding business needs in ETL projects.