Abhilash Muralidharan

Senior Data Engineer with 10+ years of experience designing and delivering cloud-based data platforms, ETL/ELT pipelines, data migration programs, analytics solutions, and data modernization initiatives. Strong expertise in AWS, Python, PySpark, SQL, Snowflake, data modeling, data integration, and performance optimization. Currently leading offshore delivery for the Japan market, managing data engineering and BI teams while partnering with business stakeholders.

Recently completed AWS Certified Solutions Architect – Associate and worked on Amazon SageMaker forecasting proof-of-concepts using Prophet, XGBoost, and ETS models.

Data Engineer Manager - BMW TechWorks India

(2025-07)

• Lead the design and implementation of AWS-based data ingestion and ETL pipelines using Glue, Lambda, Athena, S3, and Step Functions.
• Serve as Offshore Lead for the Japan market, managing 4 Data Engineers, 2 BI Engineers, and 1 Business Analyst.
• Partner with stakeholders to gather requirements, define roadmaps, and deliver scalable data solutions.
• Design data models and analytics-ready datasets supporting reporting and business intelligence initiatives.
• Build infrastructure using Terraform and automate deployments using GitHub Actions.
• Conduct mentoring, code reviews, and knowledge-sharing sessions across the team.
• Developed SageMaker proof-of-concepts for sales forecasting and sales planning using Prophet, XGBoost, and ETS models.
• Implemented data quality controls and optimized SQL/PySpark workloads to improve reliability and performance.

Data Engineer Manager - Capgemini

(2024-06 - 2025-06)

• Designed and implemented enterprise data migration and ingestion pipelines from Oracle to AWS analytics platforms.
• Designed ELT pipelines, reconciliation processes, and validation checks to ensure data integrity.
• Built cloud-native ingestion frameworks using AWS Glue, Lambda, DynamoDB, Step Functions, and S3.
• Optimized ETL workloads and improved processing efficiency through SQL and PySpark tuning.
• Supported modernization of legacy data platforms through cloud migration initiatives.

Application Development Team Lead - Accenture

(2022-06 - 2024-06)

• Designed and implemented a Python and PySpark data integration framework for enterprise-scale processing.
• Migrated Informatica workflows to a modern cloud-based framework, improving maintainability and scalability.
• Leveraged Amazon EMR for large-scale distributed data processing.
• Implemented Apache Airflow orchestration for scheduling, monitoring, and operational support.
• Developed Python solutions integrating with Azure Data Catalog using PyApacheAtlas.
• Supported CI/CD practices using Jenkins and engineering best practices.
• Worked on a finance-domain project migrating financial transaction data from Oracle to Snowflake.

Data Engineer Associate - Cognizant

(2021-10 - 2022-06)

• Built backend data solutions for manufacturing clients using AWS and Python.
• Developed ETL pipelines processing data from S3, REST APIs, and flat files into PostgreSQL.
• Processed complex nested JSON structures and developed custom transformation frameworks.

Senior Associate – Data Analyst - Genpact

(2016-03 - 2021-09)

• Led migration of SAS-based analytics solutions to Python for more than 20 client implementations.
• Delivered automation-driven cost savings and performance improvements.
• Performed large-scale data analysis, reporting, and stakeholder presentations for retail clients.

Aws solution architect associate