Databricks Certified Data Engineer Professional
Issuer: Databricks
Year: 2026
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AI | ML | Data Engineering
Associate Principal Data Engineering
My Work in RegTech and Financial Crime Compliance
I've spent my career at the intersection of cloud-native engineering, event-driven architecture, and artificial intelligence—focused on a problem that keeps financial institutions awake at night: how to detect and prevent financial crime at scale, in real-time.
When I look at the compliance landscape, I see institutions still operating on infrastructure designed for a different era. Batch-based systems, legacy monoliths, transaction lags measured in hours or days—these aren't just technical inconveniences. They're regulatory vulnerabilities. Financial crime doesn't wait for batch cycles, and neither should our defenses.
My mission has been to modernize how financial institutions approach compliance. I've built high-throughput, low-latency sanctions screening platforms that can process massive transaction volumes while maintaining strict regulatory accuracy and auditability. The technical challenge is real—real-time processing at that scale is genuinely difficult. But the harder challenge, in my view, is building systems that regulators can trust. Every decision needs to be traceable. Every data lineage needs to be transparent. Speed without accountability isn't progress; it's risk.
One of the key transformations I've driven is moving organizations away from batch-first thinking toward streaming-first architectures. Distributed streaming technologies, modern data platforms, event-driven systems—these enable continuous monitoring, faster risk decisions, and genuine responsiveness to emerging threats. But this shift isn't just technical; it's organizational and strategic.
I'm equally passionate about enterprise data modernization. Cloud migration of mission-critical compliance workloads, data warehouse transformation, governance frameworks, data quality initiatives—these are foundational. You can't build trust in your compliance systems without trust in your data.
At its core, my work is about this: making compliance faster, smarter, and more trustworthy simultaneously.
Agentic AI
Cloud Data Platforms
Telecom Analytics
MLOps
Professional Profile
Know About Me
My Work in RegTech and Financial Crime Compliance
I've spent my career at the intersection of cloud-native engineering, event-driven architecture, and artificial intelligence—focused on a problem that keeps financial institutions awake at night: how to detect and prevent financial crime at scale, in real-time.
When I look at the compliance landscape, I see institutions still operating on infrastructure designed for a different era. Batch-based systems, legacy monoliths, transaction lags measured in hours or days—these aren't just technical inconveniences. They're regulatory vulnerabilities. Financial crime doesn't wait for batch cycles, and neither should our defenses.
My mission has been to modernize how financial institutions approach compliance. I've built high-throughput, low-latency sanctions screening platforms that can process massive transaction volumes while maintaining strict regulatory accuracy and auditability. The technical challenge is real—real-time processing at that scale is genuinely difficult. But the harder challenge, in my view, is building systems that regulators can trust. Every decision needs to be traceable. Every data lineage needs to be transparent. Speed without accountability isn't progress; it's risk.
One of the key transformations I've driven is moving organizations away from batch-first thinking toward streaming-first architectures. Distributed streaming technologies, modern data platforms, event-driven systems—these enable continuous monitoring, faster risk decisions, and genuine responsiveness to emerging threats. But this shift isn't just technical; it's organizational and strategic.
I'm equally passionate about enterprise data modernization. Cloud migration of mission-critical compliance workloads, data warehouse transformation, governance frameworks, data quality initiatives—these are foundational. You can't build trust in your compliance systems without trust in your data.
At its core, my work is about this: making compliance faster, smarter, and more trustworthy simultaneously.
Credentials
Certifications
AWS Certified Solutions Architect-Professional
Issuer: Amazon Web Services
Year: 2026
Thought Leadership
Key Notes
2nd International Conference on AI-Integrated Cloud Technologies (ICAICT)
Event: Conference
Date: 04 Dec 2026
Location: China
2nd International Conference on Emerging Technologies and Computing Innovations
Event: Conference
Date: 02 Dec 2026
Location: Mumbai, India
International Conference on Intelligent Computing and Communication Systems (ICICCS 2026)
Event: Conference
Date: 16 Jul 2026
Location: Birmingham City University, England, United Kingdom
ICICCS 2026 offers a unique platform for practising engineers, academicians, and researchers to convene and research diverse issues within Communication and Intelligent Engineering and Technologies, charting the course for its future direction. The conference is happening to unite experts in these fields, facilitating the exchange of their invaluable insights and experiences and shaping future research trajectories.
International Conference on Advances in Mathematical Sciences (ICAMS 2026)
Event: Conference
Date: 23 Jun 2026
Location: Academy of Scientific Research and Technology (ASRT) in Cairo, Egypt
2nd International Conference on Machine Learning, Big Data, Cloud, and Computing (ICMLBDCC 2026)
Event: Conference
Date: 10 Feb 2026
Location: West Indies
ICMLBDCC 2026 aims to bring together leading academicians, researchers, and industry experts to explore the latest advancements, trends, and challenges in Machine Learning, Big Data Management, Cloud Technologies, and Computational Systems. In a rapidly evolving technological landscape, this conference provides a platform to foster collaboration, exchange innovative ideas, and promote impactful research in both academic and industrial domains.
7th DOCTORAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE
Event: Conference
Date: 03 Feb 2025
Location: Delhi, India
6th Doctoral Symposium on Computational Intelligence (DoSCI 2025) – An International Conference was held on 28th-29th March 2025 at School of Open Learning, University of Delhi; Institute of Engineering & Technology, a constituent college of Dr APJ Abdul Kalam Technical University Lucknow, India in association with University of Calabria, Italy. This symposium was able to attract a diverse range of engineering practitioners, academicians, scholars and industry delegates, with the reception of 980 papers from different parts of the world. Only 220 papers have been accepted and registered with an acceptance ratio of 22% to be published in the four volume of prestigious springer Lecture Notes on Networks and Systems (LNNS) series.
Career Journey
Education & History
Associate Principal Data Engineering
LTI - Larsen & Toubro Infotech (2021 - 0)
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