Rajesh Kumar Singh
Data Architect Data Engineer Lead-kpmg Uk @Tata Consultancy Services
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WORK HISTORY
Data Architect Data Engineer Lead-kpmg Uk @Tata Consultancy Services
Currently driving key data engineering programs at KPMG, specializing in designing secure, scalable, and cost-effective data pipelines with Azure Data Factory (ADF) and Databricks. •Orchestrating end-to-end ingestion, transformation, and delivery of sensitive data across Bronze, Silver, and Gold layers using Medallion Architecture principles •Enabling secure and seamless data collaboration through Delta Sharing •Applying table- and cluster-level tagging to enhance cost transparency and usage insights •Transitioning compute infrastructure to serverless clusters, achieving significant cost savings
EDUCATION
Dr. A.P.J. Abdul Kalam Technical University (AKTU), Lucknow
Bachelor of Technology - BTech, Computer Science and Engineering
Birla Institute of Technology and Science, Pilani
Master of Technology - MTech, Data Science & Engineering
ABOUT RAJESH KUMAR SINGH
Accomplished Data Architect & Cloud Data Engineering Leader with over 15 years of hands-on experience and 20 years of total IT experience, delivering large-scale, enterprise-grade data platforms and cross-platform data solutions across Azure, Databricks, Snowflake, and AWS. Expert in designing modern data architectures, cloud-native data lakes and warehouses, and high-performance analytical platforms for structured and unstructured data.Proven leader of end-to-end data transformation initiatives, including enterprise data modelling (conceptual, logical, physical, and dimensional), cloud migrations, Cost optimization, data governance frameworks, and scalable data engineering pipelines. Strong track record of enabling data-driven decision-making by improving data quality, security, reliability, and performance across complex enterprise environments.Recognized for combining deep technical expertise with architectural leadership to modernize legacy platforms, drive cloud-first data strategies, and deliver business value through advanced analytics and machine learning–ready data platforms.Core Technical Expertise (Primary Skills)Data Architecture & Modeling: Enterprise Data Architecture (OLTP/OLAP), Conceptual, Logical, Physical & Dimensional Modeling, Star/Snowflake/Galaxy Schema Design, Data Design Patterns & Architectural Principles.Cloud & Modern Data Platforms: Microsoft Azure (ADF, Synapse, Azure Data Services), Databricks (PySpark, Delta Lake, Lakehouse Architecture), Snowflake, AWS, cloud-native data lake and warehouse architectures.Data Engineering & Programming: Python, PySpark, SQL, PL/SQL, T-SQL, UNIX scripting, high-performance query tuning and optimization.Databases & Storage: Oracle, SQL Server, MySQL, MongoDB, Cassandra, hybrid structured and unstructured platforms.Data Integration & Migration: ETL/ELT pipelines, Azure Data Factory (ADF), SSIS, Pentaho, Python pipelines, SQL*Loader, Apache Kafka, large-scale data migration and modernization.Data Governance & Security: Data quality, availability, usability, integrity and security, governance frameworks, compliance-driven design.Analytics, ML & Visualization: ML-ready data platforms, Tableau, Power BI, Python analytics and visualization.Secondary Technical Skills.NET (Visual Studio.NET 2022), ASP.NET 4.8 / MVC, VB.NET, C#.NET, Windows/Web Applications & Services, JavaScript.EducationM.Tech in Data Science & Engineering (2-Year Master’s Degree) — BITS PilaniB.Tech in Computer Science & Engineering (4-Year Bachelor’s Degree)- UPTU, Lucknow
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