Business-aware ETL
Translate requirements into dependable mapping, session, and workflow logic.
Experienced in ETL design and development, SQL tuning, shell scripting, and end-to-end delivery of enterprise data workflows.
Translate requirements into dependable mapping, session, and workflow logic.
Improve execution efficiency by resolving source, mapping, session, and target bottlenecks.
Comfortable across databases, scripting, and modern engineering tools that support production delivery.
A grounded engineering profile shaped by enterprise delivery, database thinking, and a strong bias toward dependable execution.
An experienced Data Engineer working extensively on ETL design and development, shell scripting, and SQL. I have end-to-end exposure to analyzing business requirements, building solutions, testing, and deploying ETL processes with Informatica PowerCenter.
Turning complex workflow requirements into structured, maintainable delivery.
Balance technical depth with clarity, performance, and business alignment.
Core areas where design discipline, problem solving, and delivery experience come together.
Design and develop complex ETL and ELT logic with attention to clarity, resilience, and maintainability.
Identify bottlenecks across sessions, mappings, sources, and targets to improve throughput and stability.
Build structured program logic and robust database solutions that support scalable downstream use.
Education, delivery experience, and technical breadth centered on enterprise data engineering.
University of Calcutta (University College of Science, Technology and Agriculture / Rajabazar Science College) is my alma mater. I completed an MSc in Computer Science. My interests include Data Engineering, Database Management Systems, Data Structures and Algorithms, and Programming Logic. I am currently working as an Informatica ETL Developer at Deloitte and formerly worked as a Systems Engineer at Tata Consultancy Services Ltd.
Strong hands-on ETL delivery paired with SQL depth, scripting ability, and familiarity with diverse databases and supporting tools.
A network of peers and collaborators across ETL, data engineering, Kafka, delivery, and analytics.
Reach out for collaborations, professional opportunities, or conversations around data engineering and ETL delivery.
Open to professional connections and technical conversations. The quickest way to reach me is through email, mobile, or LinkedIn.
Available for conversations around ETL development, data engineering roles, collaboration, and technical problem solving.