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TOGAF Certified | Data Solutions Architect | Agentic AI | MS Fabrics Certified | ADF | DBT |Snowflake | DataBricks | Python | MSBI | Power BI | SQL | Data Engineering | PySpark | ADLS | Data Governance | Purview | MDM
Anishkumar G I Tech Lead | Senior Data Engineer | Data Architect | Agentic AI | MS Fabrics Certified | ADF | DBT |Snowflake | Data Bricks | Python | MSBI | Power BI | SQL | PySpark | ADLS | Data Governance | Purview | MDM Anishnair3245@gmail.com | +44 7587339383 PROFILE SUMMARY Hands-on Senior Data Engineer / Technical Lead with 16+ years of experience designing and delivering scalable cloud data platforms using Snowflake, Azure Databricks, and Microsoft Fabric. Strong expertise in building and optimizing end-to-end data pipelines, modern ELT architectures, and enterprise data warehouse solutions. Proven ability to operate across both design and implementation layers, actively contributing to development while leading globally distributed teams in Agile environments. Extensive experience modernizing legacy ETL systems (SSIS, Informatica, SAS, SSAS) into cloud-native data platforms using Spark (PySpark), Delta Lake, dbt, and Azure Data Factory. Skilled in data modelling (star/snowflake), performance tuning, and building reliable, cost-efficient data pipelines. Experienced working with business and technical stakeholders across Banking, Insurance, Investment Banking and Public Sector (NHS, DWP, DVSA) domains to deliver scalable, secure, and production-ready analytics solutions. Additionally, brings strong hands-on experience in Analytics and Business Intelligence, delivering enterprise-grade reporting solutions using Power BI, SSRS, and Microsoft BI stack. Skilled in designing semantic models, building interactive dashboards, and developing paginated and operational reports to support both strategic and day-to-day decision-making including implementation of incremental refresh strategies for efficient large-scale data processing and improved report performance.Experienced in optimizing data models and queries for reporting performance, enabling self-service
Mahatma Gandhi University, Kerala
Master of Computer Applications
N/A – Present
Mahatma Gandhi University, Kerala
Bachelor of Science
N/A – Present
Tata Consultancy Services
Technical Lead
January 1, 2021 – Present
Tata Consultancy Services
Tech lead at AI Cloud Business Group
January 1, 2021 – Present
UST
Team Lead
November 1, 2018 – January 1, 2021
UST
Engineering Team Lead
November 1, 2018 – January 1, 2021
Accenture
Team Lead
February 1, 2018 – November 1, 2018
Accenture
Business Team Lead
February 1, 2018 – November 1, 2018
ITC Infotech
Development Team Lead
September 1, 2016 – February 1, 2018
Banglore · Hybrid
Cognizant
Software Associate
May 1, 2014 – August 1, 2016
Cognizant
Business Intelligence Developer
May 1, 2014 – August 1, 2016
Bosch
Software Engineer
February 1, 2011 – May 1, 2014
Coimbatore, Tamil Nadu, India · Hybrid
Cultural Fit Analysis
The candidate demonstrates a strong cultural fit for a senior Big Data Engineer role, given their extensive experience across various companies (TCS, UST, Accenture, ITC Infotech, Cognizant, Bosch) and diverse project domains (Banking, Insurance, Public Sector). Their continuous learning (expanding expertise in AI-enabled data platforms) and leadership experience suggest a proactive and growth-oriented mindset. The breadth of skills in data engineering, warehousing, and BI, combined with experience in modernizing legacy systems, indicates adaptability and a comprehensive understanding of the data landscape.
Soft Skills & Operational Fit
The candidate's resume highlights leadership roles (Tech Lead, Team Lead) across multiple companies, indicating strong operational fit for leading data engineering initiatives. Experience in mentoring junior and senior engineers, coordinating delivery activities, and working with stakeholders suggests strong communication and collaboration skills. The ability to operate across design and implementation layers, coupled with experience in Agile environments, points to a practical and adaptable approach.