Tejas Kumar Leelavathi

AI & Software Engineer

Engineered AWS RDS PostgreSQL star-schema warehouse for 74,000+ computer vision images and 63,000+ annotations; built idempotent Python ETL pipelines ingesting multi-source REST APIs on nightly automated cron schedules. Built an autonomous data intelligence agent powered by Claude on Bedrock, utilizing prompt caching and multi-turn tool loops to answer complex analytics queries and deliver recomme

AWS RDSPostgreSQLPythonETLREST APIsClaudeBedrockPrompt CachingMulti Turn Tool UseActor CriticShapelyOpenCV

Data Migration Consultant

Migrated multi-year survey datasets for a national educational analytics organization from legacy on-premises SQL Server and manual desktop files to a modern cloud platform. Engineered watermark delta detection, schema validation, and failure alerts; enforced FERPA privacy by masking small cells under 5 students.

Data MigrationSQL ServerDelta DetectionSchema ValidationFERPAPower BIRow level security

Data Engineer Consultant

Built automated Python and SQL ETL pipelines converting multi-source client extracts into standardized analytics-ready schemas, reducing manual data processing overhead by 80% and authoring enterprise Source-to-Target Mappings. Optimized SQL joins, partition pruning, and execution plans on multi-table warehouse queries, improving throughput on recurring workloads by 30%.

PythonSQLETLSource To Target MappingQuery OptimizationDynamic Partition Pruning

Application Development Associate, Data Engineering

Accenture

Engineered mission-critical ETL workflows in Informatica PowerCenter and PL/SQL to migrate 5M+ clinical trial and patient registry records into Veeva Vault for GlaxoSmithKline. Slashed nightly batch ETL processing windows from 6.5+ hours to under 2.5 hours, a 60%+ reduction, across multi-million row Oracle/SQL Server datasets by optimizing execution plans, EXPLAIN PLAN, tuning composite indexes, a

Informatica PowerCenterPl SQLOracleSQL ServerETLData MigrationAtaccamaDockerJenkinsCI CDFDA 21 CFR Part 11GxP

Software Engineering Intern

Capgemini

Supported Oracle ERP Cloud migration by profiling legacy SQL Server records, authoring Source-to-Target Mappings, and designing staging tables for cross-platform data type conversions. Formulated SQL profiling queries detecting missing foreign keys, buffer truncation risks, and duplicate vendor tax IDs, eliminating orphan records prior to enterprise Oracle interface ingestion.

SQL ServerOracleData ProfilingSource To Target MappingSQLData Reconciliation