Headline

Data Architect & Staff Data Engineer at Samsung, Gen AI Strategy | ex Tata Digital | Databricks Expert | Snowflake Expert | Spark | SQL | Data Platforms | Agentic AI | Data Engineering | Distributed Systems

About

Md Liyakat loves to work in data centric and technology driven organizations. He is a creative thinker, a continuous learner, a technologist. He is a data architect and data engineer with great technical skills and a passion for resolving complex problems at ease. Adept at maintaining focus on achieving the right end results while formulating and implementing advanced technology and business solutions. His skills include SQL, Data Engineering, Data Architecture, Apache Spark, Databricks, Snowflake, Extract, Transform, Load (ETL), Pipelining, Python, Scala, NoSQL, Machine Learning, MLOPs and he has worked on cloud platforms Azure and AWS. He focuses not only on the data solutions but also on the data quality, data observability, data security, data accessibility and data governance aspects to bring in the overall data ecosystem across the platform. Apart from these he focuses on collaboration and communication skills, together with a demonstrable desire to learn more thanks to the exceptionally amazing peers he has worked with. This helps him secure competitive advantage when comes to good quality work and team building. He is currently delivering value to customers as a Staff Data Engineer and Data Architect at Samsung R&D Institute, Bangalore (SRIB) with his Data strategy, vision, Architecture review and technical implementation. In the past, he has worked on various technology landscapes for building end to end data solutions for many data centric and technology driven organizations. He is aspiring and interested to get into or promote into a role where he can clearly demonstrate his technical leadership qualities.

Location

Bengaluru

AI stack

claude code

codex

Work experience

Data Architect at Samsung R&D Institute India - Bangalore, Apr 2025 - Present · 1 yr 7 mos, Bengaluru, Karnataka, India, Building modern data platforms for Samsung Ads, AI Engineering for Ads Platform. Architecting technical landscape for Data Management Platform (DMP) and Audience building and targetting. Ensure Complete data and AI governance across data ecosystems. Defining and setting up standards, data engineering practices, efficient data pipelines, CICD models and patterns, security model, data governance, cloud cost optimization across data platforms. Part of ARB to inculcate the best data solution/product across enterprise level. Designing real time, near real time(event driven) and batch pipelines with LLM as evaluator. Building LLM evaluation patterns with LLM cost governance and reusable contextual settings. Designing and building Audience AI for building targetable audience with just plain human prompt by designing enterprise grade semantic layer in vector databases on top of segment metadata. It takes advantage of RAG alongwith MCP server integration for operational databases which has multi-step in built optimizations. With multi turn audience refinement which also supports on the fly audience membership calculation at scale across the globe with enterprise level guardrail implementation it serves a single data product for building audience by stitching the broken user journey across multiple applications. Handling petabyte scale data to for driving Audience Integllligence for pre and post campaigns analysis and attribution. Driving Technical Charter for Audience platform for next gen capabilities and business agility, along with cost (FinOps) governance. Designing and implementing metadata driven common ingestion pipelines across various interpretations and parties.

Technical Lead Data Engineer at Tata Digital, Jul 2022 - Apr 2025 · 2 yrs 10 mos, Bengaluru, Karnataka, India, Building a world class Data Platform to drive business excellence across TATA brands at scale. I am responsible for building enterprise data model, ETL/ELT frameworks, defining and setting up standards, data engineering practices, efficient data pipelines, security model, data governance, cloud cost optimization across data platforms. Part of ARB to inculcate the best data solution/product across enterprise level.

Data Engineer at A.P. Moller - Maersk, Jan 2021 - Jun 2022 · 1 yr 6 mos, Pune District, Maharashtra, India, Single Threaded Owner (STO) for Supply chain intelligence and ingestion platform. Built Scalable Centralized data lakehouse solution for end to end supply chain analytics, from booking to containers, air, rail, road to identifying and stitching gaps across supply chain layers.

Senior Data Engineer at Aegon Life, Nov 2019 - Jan 2021 · 1 yr 3 mos, Pune Division, Maharashtra, India, Designing and building Datalake solution for Retail Insurance. Real time ingestion of events and for various use case real time executive dashboards. Built reporting solution layer for MSI reporting, Reconciliation, and various other department reports. Worked on end to end solution for Conversational AI bot for insurance domain. This is an event driven architecture which enables chat functionalities for agents and end consumers to maximize the operational efficiency of operational staffs

Big Data Engineer at Saksoft, May 2019 - Oct 2019 · 6 mos, Pune Division, Maharashtra, India

Senior Analyst at Principal, Pune, Feb 2016 - May 2019 · 3 y 3 mo, Pune

Associate Consultant at Capgemini In, Sep 2012 - Feb 2016 · 3 y 5 mo, Pune

Education

Post Graduate Diploma in Data Science, Data Science, International Institute of Information Technology Bangalore

Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering, Shri Mata Vaishno Devi University