Data Engineer · Chennai, IN

Pipelines that ship revenue, not just reports.

I'm Abhinav — 4+ years architecting ETL/ELT on Snowflake, Azure, Palantir Foundry, and Airflow. Currently moving enterprise Martech datasets across the stack at AT&T, making every campaign measurably faster and more accurate.

+40% pipeline perf +3.6% YoY conversion 4+ yrs AWS Cloud Practitioner

Start a conversation → View pipeline stages

Stage 01 · summary

A pipeline I've been running for 4 years.

task: about · state: SUCCESS
duration: 4.3yr · retries: 0

I treat pipelines like products — with SLAs, observability, and a changelog. Day-to-day I'm moving enterprise Martech datasets between Foundry, Azure, and Snowflake, and writing the Airflow DAGs that feed every downstream campaign.

What I care about: query plans that don't lie, schemas that age well, and 3am pages that never happen. Previously I hand-translated a 40-year-old UniBasic lease-accounting system onto modern SQL — so I have patience for legacy too.

0^%

pipeline performance lift from the Foundry → Snowflake migration at AT&T Martech.

0^%

YoY conversion lift on AT&T's Abandon-Cart campaign — 100% record accuracy in flight.

Stage 02 · skills

Stack, mapped.

heatmap · proficiency × domain
rows=5 · cols=5

proficiency_matrix · SELECT domain, tool, level FROM skills5 × 5 · 25 cells

warehouse

orchestration

modeling

ingestion

reporting

cloud

Snowflake

Airflow

Foundry

Azure Blob

AWS S3

sql

SnowSQL

procs/DAGs

DDL/DML

ETL SQL

reporting

tools

Snowsight

Infoworks

DBeaver

SSMS

Pentaho

languages

SQL

Python

UniBasic

Shell

—

ops

Git

Azure Repos

JIRA

Confluence

Tableau

proficiency

— beginner → expert

Stage 03 · transformation

Where the work happens.

2 upstream tasks · state: RUNNING · HEAD=att_martech

Data Engineer & Snowflake Developer

Tech Mahindra — AT&T Martech Telecom · Aug 2023 — Present

Palantir Foundry SQL Server Azure Blob Snowflake Airflow DAGs Tableau · AWS S3

Architected and optimized ETL pipelines for AT&T's Abandon-Cart campaign — +3.6% YoY conversion lift, 100% record accuracy.
Led end-to-end migration of Martech datasets from Palantir Foundry → Snowflake (Parquet extracts, Azure Blob staging, SnowSQL ingest) — +40% pipeline perf.
Built and managed Apache Airflow DAGs to orchestrate ETL jobs; automated S3 up/downloads for vendor consumption.
Shipped data engineering for the iPhone Early Access launch; maintained Tableau dashboards for pipeline health.
Designed Infoworks pipelines for cross-platform replication; authored ER diagrams and solution docs at 100% client compliance.

SQL Server Developer

Tech Mahindra — Bank of the West BFSI · Sep 2021 — Jul 2023

UNIDATA / PICK UniBasic IDS Web App Pentaho Reports

Migrated the InfoLease lease-accounting app from legacy UNIDATA/PICK to a modern IDS Web Application — reverse-engineering UniBasic into optimized SQL.
Designed & published business reports in Pentaho Report Designer; unit-tested with Beyond Compare to guarantee post-migration data integrity.

Stage 04 · schema