Open to opportunities

Tejal Om A

@tejaloma

Message

Data engineer focused on ELT/ETL, Kafka real-time streaming, and production-ready analytics with ML-powered prototypes.

Zimbabwe

Message

What I'm looking for

I’m looking for a role where I can own production-grade ELT/ETL and real-time streaming pipelines, build reliable data models and APIs, and ship practical ML-powered experiences with strong engineering standards.

I’m a data engineer with a strong background in ELT/ETL pipelines and real-time streaming, and I bring a research mindset from Computer Vision and ML/AI into production work. I’ve built and containerized end-to-end data flows with DAG orchestration, modular transformations, and reliability-first design.

At The Art Of Living, I designed and deployed a fully containerized ELT pipeline using Docker, Apache Airflow, and dbt with PostgreSQL, replacing manual workflows. I also modernized ingestion by replacing a legacy cron-based Pentaho batch pipeline with a Kafka-based real-time streaming layer for CRM ingestion, and surfaced models through Apache Superset.

I’ve built idempotent, schema-aware synchronization between PostgreSQL and Salesforce (including duplicate detection and error recovery), and implemented privacy-preserving server-side event pipelines using SHA-256 PII hashing with downstream fanout to Meta Conversions API and Google Analytics 4 Measurement Protocol. Alongside this, I prototyped a RAG-based natural language querying system over PostgreSQL and documented production pipelines end-to-end.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

The Art Of Living

Aug 2025 - Present (9 months)

Designed and deployed a fully containerized ELT pipeline with Docker, Apache Airflow, dbt, and PostgreSQL, replacing a manual workflow. Migrated a legacy cron/Pentaho batch integration to Kafka-based real-time streaming for CRM ingestion and built idempotent PostgreSQL-to-Salesforce sync with schema mapping across 4 entities, ensuring zero data loss across runs.

Apache Airflow DBT Kafka PostgreSQL Docker Idempotent Data Sync Apache Superset Python

Research Intern

IIT Delhi

Dec 2024 - May 2025 (5 months)

Developed a PDF-parsing pipeline using a rectangle-merging algorithm with 44 pages/second throughput (70x faster than prior OCR/LLM benchmarks) and 100% accuracy. Built a circuit component isolation module with 99% accuracy and evaluated multiple template-matching and pattern-recognition approaches for bounding-box extraction.

Computer Vision PDF Parsing Image Processing OpenCV PyTorch Transformers

Education

Degrees, certifications, and relevant coursework

PSG College of Technology

5-Year Integrated Master's in Data Science, Data Science

2020 - 2025

Grade: 8.2/10

Activities and societies: Recognized as one of the winning teams of IIT-Bombay-AICTE Mapathon 2022; selected for the IKDD Uplink Internship at IIT-Madras (2023).

Completed a 5-year integrated master's program in data science, scoring 8.2/10. Completed coursework culminating in the integrated degree by June 2025.