---
title: "Aditi Pimpale - SDE-2 in Mumbai | Tal"
description: "Meet Aditi Pimpale, Data Engineer | Big data | Spark | Python based in Mumbai. AI stack includes claude, cursor, and gemini."
image: "https://tal.club/meet/aditi-pimpale/share-image"
---

# Aditi Pimpale on Tal

## Headline

Data Engineer \| Big data \| Spark \| Python

## About

I have almost 5 years of experience working on big data projects\. Currently, I work as a Data Engineer at ErosNow, where we work as a team to integrate data from multiple data sources into a data lake\. I have experience in processing huge datasets and delivering solutions as per requirements\. Previously, I worked with Vistaar Technologies as a Software Engineer, improving products and services for our customers and templatizing our solutions to handle different customers with millions of records\. Apart from work, I love sketching and I am an avid book reader\! Competencies: Iceberg \| Spark \| Trino \| Kafka \| Flink \| Airflow \| dbt \| Python \| Java \| Kubernetes

## Location

Mumbai

## AI stack

claude

cursor

gemini

openai

claudecode

## Work experience

SDE\-2 at Dream11, Jul 2022 \- Present · 4 y 1 mo, Mumbai, Maharashtra, India, ● Self\-Service ETL Platform: Designed a secure, multi\-tenant ETL scheduling platform orchestrating Spark and Trino\(Presto\) workloads, managing \~4,000 jobs, saving 200\+ hours of engineering effort per quarter\. ● Self\-serve dashboarding platform: Architected and led a self\-serve dashboard platform on AWS with RBAC, enabling tech and non\-tech teams to independently deploy and schedule \~200 dashboards, eliminating engineering dependency and reducing reporting turnaround from 7 days to 2 hours\. ● Lakehouse Migration: Led the Redshift to Iceberg ETL migration using dbt and a custom SQLGlot\-based transpiler, automating dialect conversion at scale, validating integrity using Great Expectations, improving workload isolation and delivering $700/day in cost savings\. ● Medallion Architecture: Architected a Medallion \(Bronze–Silver–Gold\) structure and centralized semantic layer \(Metric Atlas\), reducing dashboard load times from minutes to seconds\. Designed dimensional models for the Gold layer, enabling consistent KPI definitions across 20\+ dashboards and reducing p95 dashboard load latency by 50%\. ● Standardizing Event Metadata: Led development of a centralized, version\-controlled event metadata governance platform using a Git\-like branching model, replacing manual sheets and enforcing standardized, high\-quality event metadata across teams\. ● DataHighway: Built a schema\-gated real\-time event ingestion platform processing 495M events/min \(8\.25M RPS, peak concurrency 16\.11M\) — auto\-provisioning Iceberg tables on schema registration, reducing analytics latency from \~1 day to \~3 minutes, and cutting downstream job failures to near\-zero via schema admission control\. ● DataHighway – Scaling & Cost Governance: Scaled Kafka infrastructure to sustain 495M events/min with zero downtime during peak loads\. Built a cost visibility platform attributing per\-team storage costs to event owners, giving each team direct visibility into their event storage costs\. ● Stream Processing Platform: Built real\-time stream processing pipelines on Apache Flink — hands\-on with Table API, stateful processing, checkpointing/savepoints, Kafka connectors, and parallelism tuning\. ● Automation Ingestion Framework: Built an in\-house ingestion framework for Apache Iceberg, automating schema evolution and backfills across \~140 tables while reducing manual effort by 80 hours/month\.

Senior Software Developer at Excelra, Nov 2021 \- Aug 2022 · 10 mos

Data Engineer at ErosSTX, Mar 2020 \- Oct 2021 · 1 yr 8 mos, Mumbai, Maharashtra, India

Software Engineer at Vistaar Technologies, Apr 2017 \- Feb 2020 · 2 yrs 11 mos

## Education

Bachelor of Engineering \- BE, Computer Engineering, Aldel Education Trusts St John College of Engg Vevoor Palghar Tal Palghar Dist Thane

[View the original profile](https://tal.club/meet/aditi-pimpale)

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