RESHMA MENON
Senior Data Engineer
Amsterdam
Summary
Results-driven Senior Data Engineer with over 8 years of experience in developing scalable, cloud-native data engineering solutions. Proficient in designing and implementing robust production-grade data pipelines using Azure Data Services and AWS. Strong foundation in data modeling and analytics platforms, with a focus on automation. Proven track record of delivering impactful results in the Retail and Financial Services sectors, driving data-driven decision-making and operational efficiency.
Overview
9
9
years of professional experience
5
5
Certifications
4
4
Languages
Work History
Senior Consultant / Senior Data Engineer – AI & Data
EY Adviseurs B.V.
12.2023 - Current
- Contributed as a hands‑on data engineer working extensively on the design and implementation of Azure‑native data platforms
- Designed and supported scalable data pipelines using Azure Synapse Analytics and Azure Data Factory for a retail client to enable promotion effectiveness analysis and promotion optimization.
- Worked on a GenAI use case to design and implement an automated process for extracting annual report data from multiple universities across the Netherlands.
- Developed an end‑to‑end automation solution for EY Global Business Services to streamline recruitment, contract extensions, and leave application processes using Power Apps and Power Automate.
- Supported Centric PLM from a technical application standpoint for a retail client.
- Collaborated with engineering teams following Agile development processes.
Senior Data Engineer
Ernst & Young LLP
03.2021 - 09.2023
- Designed end-to-end data ingestion pipelines integrating SQL Server, SAP HANA, Salesforce and JDE into AWS S3.
- Developed and optimized PySpark-based ETL frameworks for large-scale analytics workloads.
- Built analytics tables, views and stored procedures in Snowflake.
- Participated in architectural design of cloud-native data platforms using AWS services.
- Worked closely with data architects and engineering teams for performance optimization.
Associate Consultant – Data Engineering
Infosys Ltd
03.2019 - 03.2021
- Developed AWS Glue and PySpark pipelines for enterprise-scale data lake curation.
- Built Python Lambda scripts for orchestrating and scheduling EMR jobs for Financial services Client.
- Performed data pipeline design, pseudocode preparation and technical design reviews.
System Engineer – Cloud & Automation
Tata Consultancy Services
10.2016 - 03.2019
- Worked on large-scale data center migration projects to AWS Cloud with Dutch client.
- Developed Python-based self-healing automation for EC2 instances using Lambda and SSM.
- Prepared high-level design documents and maintained CMDB inventories in ServiceNow.
Education
Bachelor of Technology - Computer Science and Engineering
Federal Institute of Science and Technology (FISAT)
Skills
Cloud Data Engineering: Azure & AWS
AI: Azure AI Fundamentals, Azure Document Intelligence, Generative AI Foundations
Big Data & Distributed Processing: Databricks, Apache Spark, PySpark, SparkSQL
Automation & Orchestration: Microsoft Powerapps, Power automate, AWS Lambda, AWS Step Functions, Azure Data factory jobs, Scheduler
Programming Languages: Python, SQL
Data visualization: PowerBI
Azure Technologies:Azure Synapse Analytics, Azure Data Factory, Azure Storage, Azure Databricks
AWS Technologies: S3, Glue, Athena, EMRLambda, Step FunctionsDynamoDB
Source & Data Platforms: Databricks, SnowflakeSQL Server, SAP HANASalesforce
DevOps & Collaboration Tools:Git, Bitbucket, GitHubJira, ConfluenceAgile Development & CI/CD Collaboration, ServiceNow
PLM: Centric Admin Training
Domain: Retail, Financial Services, Commercial Analytics
Certification
Microsoft Azure AI Fundamentals
Timeline
Senior Consultant / Senior Data Engineer – AI & Data
EY Adviseurs B.V.
12.2023 - Current
Senior Data Engineer
Ernst & Young LLP
03.2021 - 09.2023
Associate Consultant – Data Engineering
Infosys Ltd
03.2019 - 03.2021
System Engineer – Cloud & Automation
Tata Consultancy Services
10.2016 - 03.2019
Bachelor of Technology - Computer Science and Engineering
Federal Institute of Science and Technology (FISAT)