Vikas User
@vikas_shirani
Senior data engineer specializing in data validation, quality engineering, and ETL/ELT pipelines.
IndiaWhat I'm looking for
Data Engineer with 4+ years of experience delivering legacy system modernization, enterprise data migration, and AWS cloud transformation across Banking, Financial Services, and Insurance (BFSI) domains. Experienced in building scalable ETL/ELT pipelines, analyzing large enterprise datasets, and delivering analytics-ready data solutions using SQL, Python, PySpark, Hive, Hadoop, Snowflake, and AWS (Amazon S3, AWS Glue, Amazon EMR, Amazon Redshift, Amazon Athena). Strong expertise in data engineering, cloud data warehousing, data modelling, source-to-target (S2T) validation, cross-platform data reconciliation, data quality analysis, KPI reporting, and transformation validation to ensure data integrity, reporting consistency, and successful migration outcomes. Proficient in developing complex SQL queries, supporting business intelligence reporting, and collaborating with cross-functional stakeholders to deliver data-driven insights in Agile environments. Passionate about leveraging AI-assisted tools to accelerate SQL development, Python scripting, documentation, and analytical workflows while continuously expanding expertise in cloud-native data engineering, AI/ML, Generative AI, and Large Language Models (LLMs).
Experience
Work history, roles, and key accomplishments
Led enterprise Sales Performance Management modernization, replacing legacy mainframe incentive processing with Hadoop-based ETL/ELT for 18+ source systems and ensuring data accuracy, integrity, and reconciliation. Performed backend validation for 150+ tables and 100K–250K+ daily batches, driving defect analysis, RCA, reconciliation testing, and business-rule compliance.
Software Engineer - Data QA
Tech Aimz India Private Limited
Aug 2019 - Jul 2022 (2 years 11 months)
Contributed to Mainframe-to-Hadoop modernization of incentive processing across 15+ source systems, validating Raw/CLN/INT layers and ensuring accurate product mapping, referral matching, activation workflows, and revenue-credit calculations. Supported high-volume batch validation for 100K–250K+ daily records across 150+ tables with 99%+ data validation accuracy, including defect analysis, root-ca
Education
Degrees, certifications, and relevant coursework
Visvesvaraya Technological University (VTU)
Bachelor of Engineering (B.E.), Mechanical Engineering
2015 - 2019
Completed a B.E. in Mechanical Engineering at VTU from 2015 to 2019.
Tech stack
Software and tools used professionally
Availability
Location
IndiaAuthorized to work in
Job categories
Skills
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