---
title: "RAKESH SINGH B - Senior Data Analyst in Bengaluru | Tal"
description: "Meet RAKESH SINGH B, Senior Data Analyst | Technical Lead & Mentor | Databricks, PySpark, AWS, Power BI, GenAI/RAG | Agile/PI Planning | 10+ Yrs Turning Big Data into Business Impact based in Bengaluru. AI stack includes claude code, ollama, and ChatGPT."
image: "https://tal.club/meet/rakesh-singh-b/share-image"
---

# RAKESH SINGH B on Tal

## Headline

Senior Data Analyst \| Technical Lead & Mentor \| Databricks, PySpark, AWS, Power BI, GenAI/RAG \| Agile/PI Planning \| 10\+ Yrs Turning Big Data into Business Impact

## About

I'm a Senior Data Analyst with 10\+ years of experience turning complex, large\-scale datasets into actionable business decisions — most recently leading and mentoring a team of 4\-6 junior analysts while building end\-to\-end data and AI workflows for a global automotive leader\. At Stellantis, I work across the full data lifecycle: analyzing telemetry from 1M\+ connected vehicles in a modern Data Lakehouse \(Databricks, PySpark, AWS S3/Athena/Glue\), architecting a Data Quality Framework that automatically detects data quality issues and consolidates them into a single Databricks dashboard, and shipping a Generative AI system — a RAG pipeline on AWS Bedrock \(Claude 3 Haiku\) — that cut ticket resolution time from 24 hours to within minutes for repeated support issues\. I also serve as the primary bridge between Data Engineering, Product, and business stakeholders, and represent my team in PI Planning to align delivery with program\-level roadmaps\. Earlier, at Accenture/AIG, I built ETL pipelines, ran distributed processing on AWS EMR, and developed machine learning models for predictive risk analysis in the insurance/underwriting space\. Core toolkit: Databricks · PySpark · Python · SQL · AWS \(S3, Athena, Glue, EMR, Bedrock\) · Power BI · DAX · LLMs & RAG Pipelines · Scikit\-Learn · CI/CD \(GitLab\) · Agile/SAFe \(PI Planning\) · Jira · Confluence · Aha\! · Zendesk Open to Senior Data Analyst / Technical Lead – Data Analytics opportunities where I can bridge data engineering, analytics, and applied AI to drive real business outcomes, while continuing to grow into broader technical leadership\. Let's connect\.

## Location

Bengaluru

## AI stack

claude code

ollama

ChatGPT

## Work experience

Senior Data Analyst at Stellantis, Nov 2023 \- Jul 2026 · 2 yrs 9 mos, Bengaluru, Karnataka, India, Analyze large\-scale historical and streaming vehicle telemetry data \(1M\+ VINs in Amazon S3\) using advanced PySpark within Databricks\. Reduced manual data\-ingestion overhead by implementing Databricks Auto Loader for high\-velocity streaming data flows\. Pioneered a secure data\-monetization strategy via Delta Shared tables, enabling governed data access for external clients\. Designed serverless AWS data architectures \(S3, Athena, Glue\) for cost\-effective, scalable querying of large datasets\. Built CI/CD pipelines in GitLab to automate deployments and enforce version control across the analytics codebase\. Built high\-impact Power BI and Databricks dashboards \(advanced DAX\) used daily by product, engineering, and support teams\. Architected an Intelligent Ticket Resolution System — a zero\-hallucination RAG pipeline on AWS Bedrock \(Claude 3 Haiku\) — cutting ticket resolution time from 24 hours to within minutes for repeated issue tickets\.

Senior Data Analyst at Accenture, Jul 2016 \- Nov 2023 · 7 yrs 5 mos, Bengaluru, Karnataka, India, Engineered end\-to\-end ETL processes using SQL and Python, improving data accuracy and availability for critical business decisions\. Ran distributed PySpark processing jobs on AWS EMR against S3\-based data to accelerate time\-to\-insight\. Automated Amazon S3 file\-retrieval workflows with Python and Boto3, securely managing AWS credentials\. Built and validated a Scikit\-Learn machine learning model to test predictive accuracy against an existing benchmark\. Partnered with underwriting on CAT\-Modeling initiatives to assess and manage catastrophic event risk\. Led QA and validation of imported data; designed responsive GUIs in PyQt5 to support the review workflow\.

Trainee at APC by Schneider Electric, Jan 2015 \- Jun 2016 · 1 yr 6 mos, jigani, Served as Material Review Board \(MRB\) coordinator, analyzing rejected materials and enforcing corrective actions\. Partnered with cross\-functional teams to reduce capacitor rejection rates through analytical problem\-solving\. Managed inventory control via Oracle systems; used AutoCAD, ANSYS, HYPERMESH, and CATIA for design and analysis\.

## Education

Bachelor's degree, Mechanical Engineering Related Technologies/Technicians, Global academy of technology

[View the original profile](https://tal.club/meet/rakesh-singh-b)

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