Abhinav Jain
Data Analytics & Engineering Leader | Architecting Data & Analytics Platforms for Technology Risk & Assurance | Azure Databricks, PySpark, Python, SQL | National Institute of Technology Surat
- Role
- Associate Director Data Analytics and Engineering at KPMG
- Location
- Bengaluru, KA, IN
- LinkedIn followers
- 500 followers
About Abhinav Jain
Data Analytics & Engineering leader with 15+ years architecting scalable data platforms and analytics solutions in technology risk and assurance. I focus on building strong data foundations that enable real-time risk insights, continuous auditing, and automation at scale for global enterprises.I partner with business, risk, and audit leaders to define data roadmaps that balance platform modernization (Databricks, PySpark, Delta Lake, data modeling, governance) with targeted AI/ML use cases where they genuinely move the needle. I lead cross‑regional engineering teams to deliver reusable data pipelines, governed data products, automation frameworks, and CI/CD‑driven delivery so that risk and assurance functions can trust, operationalize, and continuously monitor their data.Let’s connect if you are working on:• Data engineering and scalable automation• AI‑enabled analytics and transformation strategies• Cybersecurity and technology risk• Using technology and data for positive, real‑world impact
Experience
Associate Director Data Analytics and Engineering
Oct 2021 — Present · Bengaluru, IN
Leading the architecture of data and analytics platforms for the global Technology Risk & Assurance business, defining target-state blueprints, integration patterns, and governance guardrails for cross-functional engineering and analytics teams. Accountable for data engineering strategy and roadmaps, senior stakeholder alignment, and converting strategic risk and assurance priorities into scalable, reliable, and cost-efficient data platforms on Databricks, PySpark, and Delta Lake.Providing technical and architectural leadership across the data lifecycle—from ingestion and transformation to consumption—embedding AI/ML use cases into data engineering workflows (for data quality, anomaly detection, controls testing, and risk signal extraction) and into the SDLC (for code review assistance, test generation, and deployment checks). Institutionalizing engineering standards, reusable components, and CI/CD-driven delivery practices so that teams can build compliant, well-governed data products consistently across the technology risk landscape.
Education
Govt.High Secondary School Sagar
Higher Secondary school certificate, Mathematics,Physics and Chemistry
1998 — 2000
National Institute of Technology Surat
Bachelor of Engineering (BE), Electrical Engineering
2002 — 2006
Saraswati Shishu Mandir Sagar
High School Certificate, Mathematics,Science and Social Sciences
1991 — 1998
Indian School of Business
Leadership with AI
Skills
- Sap Erp
- Consulting
- Machine Learning
- Management Consulting
- Project Management
- Sas
- Oracle Erp
- Sql
- Qlikview
- Analytics
- Business Strategy
- Advance Acl Programming
- Finance
- Predictive Analytics
- Python
- R
- Idea Programming
- Business Process Improvement
- Alteryx
- Business Analysis
- Business Intelligence
- Financial Analysis
- Microsoft Sql Server
- Team Management
- Strategy
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