Looks like you have JavaScript disabled. For the full Twine experience, you will need to re-enable it.

I’m a AI GCP Data Engineer with 4.5+ years of experience building production-grade data pipelines and cloud data platforms, primarily on BigQuery with Dataform, Cloud Composer (Airflow), and supporting services like Dataflow and Dataproc. I’ve worked with enterprise clients including The Home Depot and MetLife at Tata Consultancy Services, where I focused on improving reliability, reducing latency, and automating data quality checks using assertions and testing practices.…I’m a AI GCP Data Engineer with 4.5+ years of experience building production-grade data pipelines and cloud data platforms, primarily on BigQuery with Dataform, Cloud Composer (Airflow), and supporting services like Dataflow and Dataproc. I’ve worked with enterprise clients including The Home Depot and MetLife at Tata Consultancy Services, where I focused on improving reliability, reducing latency, and automating data quality checks using assertions and testing practices.

Muneer Sayyed

Data Engineer, AI Engineer, Software Engineer, +3





I’m a AI GCP Data Engineer with 4.5+ years of experience building production-grade data pipelines and cloud data platforms, primarily on BigQuery with Dataform, Cloud Composer (Airflow), and supporting services like Dataflow and Dataproc. I’ve worked with enterprise clients including The Home Depot and MetLife at Tata Consultancy Services, where I focused on improving reliability, reducing latency, and automating data quality checks using assertions and testing practices.…I’m a AI GCP Data Engineer with 4.5+ years of experience building production-grade data pipelines and cloud data platforms, primarily on BigQuery with Dataform, Cloud Composer (Airflow), and supporting services like Dataflow and Dataproc. I’ve worked with enterprise clients including The Home Depot and MetLife at Tata Consultancy Services, where I focused on improving reliability, reducing latency, and automating data quality checks using assertions and testing practices.

Available to hire

I’m a AI GCP Data Engineer with 4.5+ years of experience building production-grade data pipelines and cloud data platforms, primarily on BigQuery with Dataform, Cloud Composer (Airflow), and supporting services like Dataflow and Dataproc. I’ve worked with enterprise clients including The Home Depot and MetLife at Tata Consultancy Services, where I focused on improving reliability, reducing latency, and automating data quality checks using assertions and testing practices.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Language

English

Advanced

Hindi

Advanced

Telugu

Intermediate

Urdu

Intermediate

Work Experience

Data Engineer at Tata Consultancy Services

January 1, 2022 - August 1, 2026

Built and maintained ETL/ELT pipelines on GCP using BigQuery, Dataform (SQL modeling and assertions), SQL and Python, with performance tuning to reduce end-to-end latency and manual intervention. Developed ingestion frameworks for multiple CRM/cleanroom sources and implemented automated data quality checks through Dataform assertions. Engineered a serverless sync between AlloyDB and BigQuery using Cloud Run, Datastream and Cloud Composer, and operationalized ML model workflows for revenue scoring and marketing targeting. Established CI/CD for data pipelines using GitHub Actions and Jenkins, including automated testing and deployment. Supported production by triaging incidents in ServiceNow, performing root-cause analysis for Composer/Airflow and Jenkins failures, and responding to PagerDuty alerts. Earned the Most Valuable Contributor award (Aug 2025).

AI Data Engineer at Tata Consultancy Services (Client: MetLife)

January 1, 2022 - August 31, 2026

Monitored scheduled data jobs and resolved failures with IBM job scheduling in a regulated environment, tracking incidents in ServiceNow. Profiled CRM and Oracle Fusion HCM datasets, mapping primary keys and dependencies to support analytics and downstream integrations. Provided ongoing production support and ensured timely execution of data processing workflows.

AI Data Engineer at Tata Consultancy Services (Client: The Home Depot)

January 1, 2022 - August 31, 2026

Built and maintained scalable ETL/ELT pipelines on GCP with BigQuery, Dataform, SQL, and Python, producing analytics-ready data models and tuning transformations for query performance. Reduced pipeline latency and manual intervention by 40% through performance tuning, automation, and code versioning. Created reusable ingestion frameworks for multiple structured sources, adding Dataform assertions for automated data quality checks. Engineered a serverless sync between AlloyDB and BigQuery using Cloud Run, Datastream, and Cloud Composer. Automated CI/CD for data pipelines with GitHub Actions and Jenkins and deployed ML models in production pipelines (MLOps) for revenue scoring and improved marketing targeting. Delivered reusable data models and Python APIs for real-time insights and supported production reliability by triaging incidents, root-causing Airflow/Composer and Jenkins failures, and monitoring pipeline health with alerts.

Data Science Intern at BEPEC Solutions

January 1, 2021 - December 31, 2021

Built an ML model for a house-price prediction use case using Random Forest and created a time-series forecasting model using ARIMA to forecast weekly orders for a US beer manufacturing client.