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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

Bengaluru

11+ years of work experience

Stellantis
Nov 20232 yrs 9 mosJul 2026

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.
Accenture
Jul 20167 yrs 5 mosNov 2023

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.
APC by Schneider Electric
Jan 20151 yr 6 mosJun 2016

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.

RAKESH’s AI Stack

claude code
claude code
ollama
ollama
ChatGPT
ChatGPT

Education

Global academy of technology

Bachelor's degree, Mechanical Engineering Related Technologies/Technicians

Global academy of technology

20104 yrs2014

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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