---
title: "Rimi Hazra - Cloud Data Engineer 1 in Hyderabad | Tal"
description: "Meet Rimi Hazra, Cloud Data Engineer @AWS | ETL | BigData | SQL| PySpark | Hive based in Hyderabad. AI stack includes claude, codex, and cursor."
image: "https://tal.club/meet/rimi-hazra/share-image"
---

# Rimi Hazra on Tal

## Headline

Cloud Data Engineer @AWS \| ETL \| BigData \| SQL\| PySpark \| Hive

## About

I help enterprises solve complex data engineering and analytics challenges on AWS, bringing hands\-on experience in building scalable ETL pipelines, lakehouse architectures, and cost\-efficient analytics systems\. Currently a Cloud Data Engineer – Data & ETL at AWS, I work with global customers running large\-scale analytical workloads across AWS Glue, Athena, Redshift, and modern table formats like Hudi, Iceberg, and Delta Lake\. I help teams diagnose performance issues, optimize distributed pipelines, and design scalable data platforms\. Key impact: • Reduced ETL pipeline execution time by 83% \(4 hours → 20 minutes\) by optimizing Glue PySpark partitioning and parallelism • Resolved large\-scale lakehouse ingestion issues across 100M\+ record datasets using Apache Hudi, Iceberg, and Delta • Designed scalable lakehouse architectures using Glue, Athena, Redshift Spectrum, and Lake Formation • Reduced analytics costs by 25% through query optimization, partition pruning, and storage tuning • Implemented data quality frameworks to detect schema drift and data anomalies before warehouse loads Previously at Capgemini, I designed analytical data models, optimized SQL reporting systems, and developed cloud\-based applications handling high\-volume transactional workloads\. Tech stack: AWS \(Glue, Athena, Redshift, S3, Lake Formation, MWAA\) • PySpark • Python • SQL • Apache Hudi • Iceberg • Delta Lake • Data Modeling • ETL Optimization AWS Certified Solutions Architect\. Let's connect: \[hazrarimi36@gmail\.com\]\(mailto:hazrarimi36@gmail\.com\)

## Location

Hyderabad

## AI stack

claude

codex

cursor

kiro

langgraph

claudecode

## Work experience

Cloud Data Engineer 1 at Amazon Web Services \(AWS\), Dec 2025 \- Present · 9 mos, Analyzed ETL failure patterns across 50\+ Glue workloads, identified performance bottlenecks, and improved job stability through partition optimization and schema restructuring

Cloud support associate at Amazon Web Services \(AWS\), Oct 2024 \- Dec 2025 · 1 yr 3 mos, Hyderabad, Telangana, India, Data platform Engineering specialist currently functioning as a Cloud Support Engineer for high\-scale ETL architectures\. Expert in root\-cause analysis for distributed systems \(Spark/Glue/Redshift\) and performance tuning for multi\-terabyte datasets\. Leveraging deep knowledge of AWS service limits and failure modes to design resilient, fault\-tolerant data pipelines\. Proficient in Python, SQL, and Infrastructure\-as\-Code\.

Software Engineer/analyst at Capgemini, Dec 2023 \- Oct 2024 · 11 mos, Hyderabad, Telangana, India

Summer Intern at Persistent Systems, Jan 2022 \- May 2022 · 5 mos, Remote

## Education

Bachelor of Technology \- BTech, Information Technology, Bengal Institute Of Technology

ISC, Sri Aurobindo Institute of education,kolkata

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

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