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, Karnataka, India

Bengaluru, Karnataka, India

jigani




Bachelor's degree, Mechanical Engineering Related Technologies/Technicians
Global academy of technology
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Download Tal BossSenior Data Analyst | Technical Lead & Mentor | Databricks, PySpark, AWS, Power BI, GenAI/RAG | Agile/PI Planning | 10+ Yrs Turning Big Data into Business Impact
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.
Bengaluru
claude code
ollama
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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.
Bachelor's degree, Mechanical Engineering Related Technologies/Technicians, Global academy of technology