30 min → <1 min
Real-time Inventory Consolidation
Debezium CDC from PostgreSQL → Kafka → PyFlink stateful streaming → ClickHouse OLAP. Sub-minute SKU inventory across 1100+ Zepto dark stores.
#kafka#pyflink#debezium#clickhouse
click anywhere to skip
♞♝♜♛
♚
4+ years building petabyte-scale data50% fewer production incidents35% infra cost cut30 min → <1 min real-time inventory1100+ dark stores on one source of truth200+ Spark jobs governed by IaaC2M+ records/day TV measurement ETL12B records · 15TB PySpark on EMRKafka · Flink · Debezium · ClickHouse · Databricks
What I actually do
I turn messy data into business value.
Every business sits on a pile of scattered, half-trusted information. My job is to clean it, connect it, and turn it into the fuel that decisions, savings, products and AI run on.
● The reality of any business
unclean
Sales & POS
stores, online, retail
unclean
Apps & web
clicks, sessions, carts
unclean
CRM & support
customers, tickets
unclean
Ads & marketing
spend, campaigns
unclean
Spreadsheets & ops
the messy reality
♚
I clean it. Connect it. Make it trustworthy.
pipelines · quality · governance
● What the business gets
Faster decisions
minutes, not days
0×
Lower costs
cloud + people time
0%
New revenue
unlocked use-cases
0K+
AI-ready data
trustworthy fuel for ML
0%
About
A note about me.
Senior Data Engineer with 4+ years building petabyte-scale ETL/ELT pipelines, real-time streaming, and distributed warehousing at Zepto, Nielsen, and Tredence. PySpark, Kafka, Flink, Databricks, AWS & Azure. Reduced incidents 50%, cut infra cost 30–35%, accelerated delivery 30–40%.
- 4+years building data
- 50%fewer incidents
- 35%infra cost cut
- ∞curiosity
Milestones
The ladder so far.
Hover a stone for a one-line read. Click to step into the full story.
- Data Engineer
Feb 2025 — Present
Zepto · Bangalore, India
Read storyPioneered big-data SOT for Planning platform across 1100+ dark stores.Architected real-time Inventory Consolidation: Debezium → Kafka → PyFlink → ClickHouse.Built Anomaly Detection over Databricks telemetry with Redis + MongoDB.IaaC framework governing 200+ jobs.Optimized Spark Transfer Order pipelines — 4.5× speedup. - Data Engineer
Sep 2024 — Jan 2025
Nielsen · Bangalore, India
Read storyBig-data ETL on Databricks for TV audience measurement.2M+ records/day via Kafka + Airflow on AWS.Resolved bottleneck via broadcast joins, key salting, multi-threading.Accelerated ETL 30% via predicate pushdown and rightsizing. - Data Engineer
Jun 2022 — Aug 2024
Tredence Inc. · Bangalore, India
Read storyBuilt XML metadata parser contributing $200K revenue.DataStage → ADF/ADLS Gen2/Databricks migration.Tuned PySpark on EMR (15TB / 12B records).Integrated 6 multi-source systems across AWS, Azure, GCP. - 🎓🎓 B.Tech, Chemical Engineering
2018 — 2022
NIT Jalandhar · Jalandhar, India
Read storyB.Tech in Chemical Engineering — graduated 2022.
Stack
The toolkit.
A curated set across cloud, streaming, batch and orchestration.
AW
AWSAZ
AzureGC
GCPSelected Work
Things I've built.
Platforms and pipelines designed for throughput, cost, and operability at real production scale.
1100+ dark stores
Planning Platform SOT (Petabyte-scale)
PySpark + Spark SQL + Delta Lake on S3, Airflow DAGs — single source of truth for FMCG, SuperStore, Cafe & Milk planning.
#pyspark#delta lake#airflow#s3
10+ eng-hrs / week
IaaC Governance Framework
Diff engine + Delta audit + Databricks RBAC governing 200+ jobs. Multi-stage Docker builds for PyFlink/Debezium cut onboarding to 2 hrs.
#github actions#docker#databricks
50% incidents prevented
Anomaly Detection Service
OOP Python service over Databricks telemetry with Redis sub-ms threshold lookup and MongoDB alert history.
#python#redis#mongodb#databricks
Connect
Say hi, grab the resume,
or just look around.
@ashish-6204
GitHub
@asisaarav
4+
Years building data
petabyte-scale pipelines
4
Certifications
Databricks · Snowflake · Azure
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Bangalore, India 🇮🇳
IST · my local time
Resume
Download CV