Hi, I’m Kia Akrami, a data engineer and scientist with over a decade of experience building end-to-end data platforms, real-time pipelines, and production ML ecosystems across AWS, GCP, and Databricks. I enjoy turning complex data into actionable insights, designing scalable ETL/ELT pipelines, and delivering automated ML workflows that scale with business needs. I thrive in collaborative, Agile environments and have contributed to open-source projects such as PySIT. Beyond engineering, I’ve worked across gaming, media, and technology sectors, applying time-series forecasting, recommender systems, computer vision, and NLP to real-world problems. I’m passionate about bridging data science with practical software solutions and fostering strong partnerships with product, analytics, and operations teams.

Kia Akrami

Hi, I’m Kia Akrami, a data engineer and scientist with over a decade of experience building end-to-end data platforms, real-time pipelines, and production ML ecosystems across AWS, GCP, and Databricks. I enjoy turning complex data into actionable insights, designing scalable ETL/ELT pipelines, and delivering automated ML workflows that scale with business needs. I thrive in collaborative, Agile environments and have contributed to open-source projects such as PySIT. Beyond engineering, I’ve worked across gaming, media, and technology sectors, applying time-series forecasting, recommender systems, computer vision, and NLP to real-world problems. I’m passionate about bridging data science with practical software solutions and fostering strong partnerships with product, analytics, and operations teams.

Available to hire

Hi, I’m Kia Akrami, a data engineer and scientist with over a decade of experience building end-to-end data platforms, real-time pipelines, and production ML ecosystems across AWS, GCP, and Databricks. I enjoy turning complex data into actionable insights, designing scalable ETL/ELT pipelines, and delivering automated ML workflows that scale with business needs. I thrive in collaborative, Agile environments and have contributed to open-source projects such as PySIT.

Beyond engineering, I’ve worked across gaming, media, and technology sectors, applying time-series forecasting, recommender systems, computer vision, and NLP to real-world problems. I’m passionate about bridging data science with practical software solutions and fostering strong partnerships with product, analytics, and operations teams.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent
French
Advanced

Work Experience

Staff Data Engineer at T-Mobile
June 1, 2025 - June 1, 2025
Real-time big data processing, IAC (Terraform) for infrastructure, recommendation algorithms, Azure and AWS cloud, DevOps. Developed data pipelines, ETL processes, and automated ML ecosystem; designed AWS CloudFormation stacks and Airflow DAGs; implemented various Lambda functions.
Sr. Data Engineer at DOU
July 1, 2021 - July 1, 2021
Real-time big data processing, IAC (Terraform) for infrastructure, GCP and AWS, DevOps. Integrated TFE metrics with Datadog; worked on computer vision algorithms; developed data pipelines, ETL processes, and automated ML ecosystem; designed CloudFormation Stacks and Airflow DAGs; implemented Lambda functions.
Data Engineer and Scientist at Article
June 1, 2020 - June 1, 2020
Real-time big data processing; integrated Google/Facebook Analytics, Instagram and other data sources with AWS Redshift; maintained AWS RDS and other databases; analyzed physical and behavioral data; inventory and warehouse simulation; developed data pipelines, ETL processes, automated reports; designed CloudFormation stacks and Airflow DAGs; implemented Lambda functions; developed hybrid recommendation and time-series forecasting models.
Data Engineer and Scientist at BLUEBAT GAMES
October 1, 2018 - October 1, 2018
Real-time big data processing; integrated Google and Facebook Analytics with AWS Redshift; developed hybrid filtering ML algorithms for user behavior data; built data pipelines, ETL processes, and automated business reports.
Data Engineer and Scientist at Smart Shore Technologies
April 1, 2018 - April 1, 2018
Built data pipelines, ETL, cloud computing and Spark; analyzed big data. Developed Generative Adversarial Network (GAN) models for field data, improving accuracy by ~10% over CNN baselines.
Consultant Data Scientist and Machine Learning Researcher at Xtract.ai
July 1, 2018 - July 1, 2018
Accelerated and refactored modules for state-of-the-art ML and computer vision algorithms on GPUs using CUDA; reduced registration time by 70%.
Data Engineer and Scientist at MineSense Technologies
September 1, 2016 - September 1, 2016
Big data ingestion, processing, modeling, and visualization using ODI, Oracle SQL Server; built platform applying CNNs and unsupervised ML (K-Means) to mining data.
Data Engineer and Scientist at LimeSpot
September 1, 2015 - September 1, 2015
Developed a machine learning recommender system (Collaborative Filtering and Hybrid approaches); parallelized SGD across users; implemented ADAGRAD.

Education

MSc Imaging and Algorithm (Applied Science) at MUN/UBC, Canada
September 1, 2014 - December 1, 2016
MSc in Applied Science (Machine Learning) at Pascal Institute, France
September 1, 2010 - September 1, 2012
Maîtrise in Applied Science at Pascal Institute, CNRS, Grenoble, France
September 1, 2009 - September 1, 2010

Qualifications

Bachelor's degree
November 1, 2011 - August 1, 2012
SIAM Conference Award: Mathematical and Computational Issues in the Geosciences
January 1, 2015 - November 3, 2025
IQC Quantum Information Conference Award
January 1, 2013 - November 3, 2025

Industry Experience

Gaming, Media & Entertainment, Software & Internet, Professional Services, Education