Adil Sadyk

I’m a Data Engineer with 3+ years of experience supporting high-load data systems, analytics automation, and large-scale data pipelines. I combine data engineering, analytics, and business intelligence to help teams turn raw data into dependable reporting and decisions.

In production, I build ELT pipelines with dbt and orchestrate them using Apache Airflow. I process datasets with 270M+ rows across 20+ data sources, and I develop reliable data models that reporting teams can trust.

I also optimize analytical workloads in ClickHouse and develop Python-based tools for monitoring and automation. On the SQL side, I design and maintain business-critical data marts using advanced techniques like CTEs and window functions, with a strong focus on query optimization.

Before deepening into data engineering, I worked as a Data Analyst—building 50+ dashboards in Tableau and Superset and automating recurring reporting workflows. That background keeps me grounded in both the technical infrastructure and the business value analytics needs to deliver.