Hari Alokam

Data Engineer @WTW

London, GB
MOBILE NUMBERS
+91 *********19

Signup · Get unlimited contacts

WORK HISTORY

Mar 2024 — Present

Data Engineer @WTW

View department →

Contributed to project architecture planning by conducting required proof of concepts (POCs), analyzing cost implications, and preparing detailed resource planning • Implemented Delta Lake in Synapse, enabling ACID transactions, incremental data loading, and optimized data storage for enhanced data reliability. • Migrated the SAS based ETL and large SAS based codes to PySpark notebooks and applied required optimizations.• Optimized large SQL and PySpark code by following best coding practices for Synapse and Databricks • Implemented automated CI/CD pipelines for deploying Azure Data Factory, Synapse, and Databricks solutions• Managed version-controlled releases using Azure DevOps and Git for data engineering artifacts• Streamlined deployment workflows using Infrastructure as Code (ARM/Terraform) for repeatable environment provisioning• Integrated Synapse Notebooks with ADF, Azure Data Lake, and Synapse Pipelines for seamless data orchestration and management.• Collaborated with Data Scientists, Analysts, and business teams to understand reporting and analytics goals, translating them into actionable data engineering solutions using tools like Delta Lake and SQL Server.• Implemented governance and metadata standards in Azure Purview to support a unified and discoverable data strategy • Migrated legacy ETL workflows from SAS and SQL-based systems to PySpark on AWS Glue, improving processing efficiency and reducing operational costs.• Designed and maintained scalable, DAG-based data orchestration workflows using Dagster, ensuring reliability, modularity, and observability across ETL/ELT pipelines.• Developed and deployed end-to-end data pipelines integrating Dagster with Snowflake, AWS S3 and external APIs for real-time and batch data processing.• Re-engineered complex reporting datasets into Redshift-native semantic models and integrated them with Amazon QuickSight for enhanced BI performance and reduced latency.

EDUCATION

2007 — 2009

J.J. College of Arts & Science, Namanasamuthiram, Pudukkottai - 622 404.

Master of Science - MSc IT, Information Technology

ABOUT HARI ALOKAM

With 12+ years of experience with hands-on work in data engineering, I specialize in…

This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.

Hari Alokam — Data Engineer at WTW in London, GB | Unifers