I am a data professional with a strong background in cloud technologies, data engineering, and business intelligence. With expertise in AWS and Google Cloud Platform (GCP), I design and manage scalable data infrastructures that enable organizations to leverage cloud solutions for storage, processing, and analytics. My work spans data lakes, data mesh, and data governance. I focus on building reliable, scalable, and secure architectures that empower data-driven decision making. I am proficient in Python for automating workflows, ETL pipelines, and analytics, and I frequently work with Databricks for big data processing and ML tasks. I also collaborate on BI, analytics, and governance to turn complex datasets into actionable insights, ensuring data is accessible, governed, and aligned with business goals.

Seyed A. Abtahizadeh

I am a data professional with a strong background in cloud technologies, data engineering, and business intelligence. With expertise in AWS and Google Cloud Platform (GCP), I design and manage scalable data infrastructures that enable organizations to leverage cloud solutions for storage, processing, and analytics. My work spans data lakes, data mesh, and data governance. I focus on building reliable, scalable, and secure architectures that empower data-driven decision making. I am proficient in Python for automating workflows, ETL pipelines, and analytics, and I frequently work with Databricks for big data processing and ML tasks. I also collaborate on BI, analytics, and governance to turn complex datasets into actionable insights, ensuring data is accessible, governed, and aligned with business goals.

Available to hire

I am a data professional with a strong background in cloud technologies, data engineering, and business intelligence. With expertise in AWS and Google Cloud Platform (GCP), I design and manage scalable data infrastructures that enable organizations to leverage cloud solutions for storage, processing, and analytics.

My work spans data lakes, data mesh, and data governance. I focus on building reliable, scalable, and secure architectures that empower data-driven decision making. I am proficient in Python for automating workflows, ETL pipelines, and analytics, and I frequently work with Databricks for big data processing and ML tasks. I also collaborate on BI, analytics, and governance to turn complex datasets into actionable insights, ensuring data is accessible, governed, and aligned with business goals.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Language

English
Fluent

Work Experience

Senior Data Engineer at Netflix (Warner Bros)
July 1, 2025 - Present
Design, develop, and optimize ETL pipelines using Databricks (Apache Spark) & AWS Glue. Implement data lakes, data warehouses, and lakehouses on AWS (S3, Redshift, Delta Lake). Ensure data quality, lineage, and governance using Unity Catalog, AWS Glue Catalog, and Great Expectations. Optimize Spark jobs for cost efficiency and performance in Databricks. ML Ops & Model Deployment: Build and deploy end-to-end MLOps pipelines using Databricks MLflow, SageMaker, and Kubernetes. Automate model training, validation, and deployment with CI/CD (GitHub Actions, Jenkins, or AWS CodePipeline). Implement feature engineering & feature store management (Databricks Feature Store, SageMaker Feature Store). Monitor model drift, performance, and retraining strategies.
Senior Platform Engineer at TrueLogic
September 1, 2023 - June 30, 2025
Terraform, ETL, DBT, Redshift, Airflow. End-to-end data pipeline and data lake implementation. Machine learning and GenAI applications (internal chatbot for analysts).
Senior Data Architect at Possible Finance
May 1, 2023 - August 31, 2023
Specialized in Redshift, Data Warehousing, Terraform, and Data Modelling. Led infra design and implementation. Established data architecture standards and best practices to build scalable data lake in AWS.
Software Engineer at Andela (contract with IBM)
January 1, 2023 - Present
Contracted with IBM as senior data architect. Implemented solutions using Kafka, MSK, Spark, Stream Processing. Developed infrastructure using Terraform, CDK, CloudFormation, Git.
Backend Engineer at MarketMuse by Siteimprove
October 1, 2020 - April 30, 2021
Specialized in AWS Lambda Python development. Built and maintained serverless applications. Implemented backend services and APIs.
Python Developer at Freelance
February 1, 2016 - October 31, 2020
Developed custom Python solutions for various clients. Managed end-to-end project lifecycles. Created scalable and maintainable code bases.
Back-End Developer at MarketMuse by Siteimprove
October 1, 2020 - April 30, 2021
AWS Lambda Python development; built and maintained serverless applications; implemented backend services and APIs.
Azure Architect at KPMG Canada
April 1, 2021 - June 30, 2022
Responsible for Azure architecture design and implementation; managed clusters and backend infrastructure code; led cloud migration initiatives and optimization efforts.

Education

Bachelor of Science (BSc) - Software Engineering at University of Science & Culture
January 11, 2030 - October 1, 2006
Bachelor of Science (BSc) - Software Engineering at University of Science & Culture
October 1, 2006 - January 26, 2026

Qualifications

AWS Solutions Architect Associate
January 11, 2030 - January 26, 2026
HashiCorp Certified: Terraform Associate
January 11, 2030 - January 26, 2026
Databricks Data Engineering Associate
January 11, 2030 - January 26, 2026
AWS Solutions Architect Associate
January 11, 2030 - January 26, 2026
HashiCorp Certified: Terraform Associate
January 11, 2030 - January 26, 2026
Databricks Data Engineering Associate
January 11, 2030 - January 26, 2026

Industry Experience

Software & Internet, Media & Entertainment, Professional Services