Adil Abdumannapov

Forward-thinking Senior Data Engineer with 10+ years of experience designing scalable Data Lakehouse and BI ecosystems across Azure, AWS, and GCP. Expert in ADF, Databricks, Synapse, Snowflake, and Microsoft Fabric, delivering governed, high-performance solutions using medallion and star-schema architectures. Proficient in Python (PySpark, pandas) and SQL for advanced ETL, API integration, and data automation. Skilled in Power BI (DAX, M Query, RLS) and Tableau for business-critical analytics. Drives CI/CD, IaC, and data governance with Azure DevOps, Terraform, and Unity Catalog to ensure quality, reliability, and compliance in enterprise environments.

I am a Senior Data Engineer with 10+ years of experience designing and delivering scalable data platforms across Azure, AWS, and GCP. I specialize in building end-to-end data pipelines using Azure Data Factory, Databricks (PySpark), Synapse, Snowflake, and Microsoft Fabric, following modern lakehouse and medallion architectures. I have strong hands-on experience with API-driven data ingestion, including secure integrations through API Gateway technologies such as Apigee, Azure API Management, and AWS API Gateway. I work extensively with Python and SQL to transform large datasets, automate workflows, and ensure data quality. I have delivered enterprise BI solutions using Power BI and Tableau, implemented CI/CD with Azure DevOps and Terraform, and supported regulated healthcare data environments with strong governance and security practices.

Bachelor of Science in Mathematics from Khoja Akhmed Yassavi International Kazakh-Turkish University. Strong academic foundation in analytical thinking, statistics, and problem-solving, supporting a long-term career in data engineering, data architecture, and business intelligence.