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Freelancer Overview
• Data Engineer with 7.5+ years of experience in Oracle PL/SQL, ETL pipeline development, and big data systems within banking and financial domains. • Hands-on experience building and optimizing data pipelines handling millions of records, with a strong focus on performance tuning, data validation, and production support (L2/L3). • Worked on IFRS9 (ECL, PD/LGD), ALM, and regulatory reporting systems using Moody’s Analytics, RFO, and CreditLens platforms in production environments. • Known for resolving production issues, improving ETL performance, and ensuring data accuracy across systems. • Experience using Generative AI (GenAI) and OpenAI/ChatGPT for intelligent ETL automation, SQL optimization and data validation. TECHNICAL SKILLS: Programming & Databases • Oracle SQL, PL/SQL (procedures, packages, performance tuning) • Python (Pandas, NumPy for data processing and validation) Big Data & Distributed Processing • Hive, Hadoop, PySpark, Spark SQL Data Engineering & ETL • End-to-end pipeline development, data transformation, data validation • Tools: Dataiku, Paxata, Informatica AI & Intelligent Automation • Generative AI (GenAI) • OpenAI / ChatGPT • Intelligent ETL Automation Performance Optimization • Query tuning, indexing, partitioning • Bulk processing using Bulk Collect and FORALL Workflow & Tools • Autosys, Control-M, Unix Shell Scripting • GitHub, SVN, JIRA Domain Knowledge • IFRS9 (ECL, PD/LGD), Credit Risk, ALM • Moody’s Analytics, RFO, CreditLens