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I'm Meera Madhu, a data engineer who loves turning raw data into actionable insights. I specialize in building scalable data pipelines, ETL/ELT workflows, and analytics solutions across banking, healthcare, and compliance domains. Over the last nine-plus years, I migrated legacy SSIS-based systems to Python-driven pipelines, designed data warehouses with star and snowflake schemas, and implemented data governance and quality checks. I enjoy collaborating with BI developers, analysts, and stakeholders to deliver reliable data foundations for informed decision-making.…I'm Meera Madhu, a data engineer who loves turning raw data into actionable insights. I specialize in building scalable data pipelines, ETL/ELT workflows, and analytics solutions across banking, healthcare, and compliance domains. Over the last nine-plus years, I migrated legacy SSIS-based systems to Python-driven pipelines, designed data warehouses with star and snowflake schemas, and implemented data governance and quality checks. I enjoy collaborating with BI developers, analysts, and stakeholders to deliver reliable data foundations for informed decision-making.

Meera Madhu

Data Analyst, Data Scientist, Full Stack Developer, +2

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I'm Meera Madhu, a data engineer who loves turning raw data into actionable insights. I specialize in building scalable data pipelines, ETL/ELT workflows, and analytics solutions across banking, healthcare, and compliance domains. Over the last nine-plus years, I migrated legacy SSIS-based systems to Python-driven pipelines, designed data warehouses with star and snowflake schemas, and implemented data governance and quality checks. I enjoy collaborating with BI developers, analysts, and stakeholders to deliver reliable data foundations for informed decision-making.…I'm Meera Madhu, a data engineer who loves turning raw data into actionable insights. I specialize in building scalable data pipelines, ETL/ELT workflows, and analytics solutions across banking, healthcare, and compliance domains. Over the last nine-plus years, I migrated legacy SSIS-based systems to Python-driven pipelines, designed data warehouses with star and snowflake schemas, and implemented data governance and quality checks. I enjoy collaborating with BI developers, analysts, and stakeholders to deliver reliable data foundations for informed decision-making.

Available to hire

I’m Meera Madhu, a data engineer who loves turning raw data into actionable insights. I specialize in building scalable data pipelines, ETL/ELT workflows, and analytics solutions across banking, healthcare, and compliance domains.

Over the last nine-plus years, I migrated legacy SSIS-based systems to Python-driven pipelines, designed data warehouses with star and snowflake schemas, and implemented data governance and quality checks. I enjoy collaborating with BI developers, analysts, and stakeholders to deliver reliable data foundations for informed decision-making.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Sr Software Engineer at Marlabs Innovations Pvt Limited

November 30, 2019 - November 30, 2019

Developed and enhanced SQL Server scripts and stored procedures; migrated DTS/SSIS packages to SSIS 2017; designed ETL pipelines; created data migration logic; performance tuning; built reports with SSRS; involved in database object design and data integrity; participated in Agile-Kanban.

Data Analyst at NTTDATA Global - India

August 31, 2023 - August 31, 2023

Developed and enhanced SQL Server scripts and stored procedures; data preparation, modelling and cleansing; designed, developed, and deployed business analytics dashboards using Power BI; worked with marketing teams to identify key customer segments; performed data integration and migration tasks; implemented scalable data warehouse solutions.

Data Engineer at HCL Technologies

June 30, 2025 - June 30, 2025

Designed and implemented scalable data pipelines; migrated ODP/ODS from SSIS to a Python-based pipeline with SQL stored procedures; contributed to the Custody Fee project; developed custom ETL flows for the Intraday Operational Data Platform; implemented data quality checks and performance tuning; collaborated with BI teams and stakeholders across business units; utilized SQL Server 2019, SSIS, Python, and CI/CD pipelines.