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Tejas Kumar Leelavathi

@tejaskumarleelavathi

Data & AI Engineer at KTM Research building a Claude-powered analytics agent and AWS data platform for computer vision.

At KTM Research, I engineered an AWS RDS PostgreSQL star-schema warehouse for computer vision images and annotations, with Python ETL pipelines ingesting multiple REST APIs. I also built a Claude-powered data intelligence agent and implemented reasoning agents that use computational geometry tools to evaluate candidate placements.

Previously, at Accenture, I engineered Informatica PowerCenter and PL/SQL workflows that migrated more than 5 million clinical trial and patient registry records into Veeva Vault for GlaxoSmithKline, with 100% data fidelity. I’ve also built automated data platforms and guarded AI assistants, including CivicOps AI, which answers questions about 15 million NYC 311 records using five typed analysis tools and a 50-test evaluation benchmark.

Experience

Work history, roles, and key accomplishments

Current

AI & Software Engineer

Current

KTM Research

Sep 2025 - Present (1 year 1 month)

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 RDS PostgreSQL Python ETL REST APIs Claude Bedrock Prompt Caching Multi Turn Tool Use Actor Critic Shapely OpenCV

Data Migration Consultant

BioGenAI

Sep 2025 - Apr 2026 (7 months)

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 Migration SQL Server Delta Detection Schema Validation FERPA Power BI Row level security

Data Engineer Consultant

Backlink Works

Sep 2022 - Aug 2023 (11 months)

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%.

Python SQL ETL Source To Target Mapping Query Optimization Dynamic Partition Pruning

Application Development Associate, Data Engineering

Accenture

Jul 2021 - Aug 2022 (1 year 1 month)

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 PowerCenter Pl SQL Oracle SQL Server ETL Data Migration Ataccama Docker Jenkins CI CD FDA 21 CFR Part 11 GxP

Software Engineering Intern

Capgemini

Jan 2021 - Apr 2021 (3 months)

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 Server Oracle Data Profiling Source To Target Mapping SQL Data Reconciliation