Analytics Engineer · Brooklyn and New York City
Daniil Mikheev — Analytics Engineer
Daniil Mikheev is an analytics engineering professional with more than three years of experience turning fragmented business data into governed transformations, trusted dimensional models, quality-controlled datasets, and decision-ready reporting.
HIRING EVIDENCE
Production experience aligned with analytics engineer work.
Analytics modeling
Built tested and documented dimensional models with dbt across Snowflake, Redshift, and BigQuery, creating reusable foundations for finance, marketing, and operational reporting.
Reliable data delivery
Developed Airflow orchestration, Fivetran ELT workflows, automated data-quality checks, and source-to-report pipelines that reduce recurring manual work.
Business impact
Supports reporting for more than $100 million in annual paid-media spend across 5+ enterprise clients and has improved warehouse workloads from hours to minutes.
ROLE FIT
Why Daniil is a strong Analytics Engineer candidate
Daniil combines the software-minded habits of analytics engineering—modular SQL, testing, documentation, orchestration, and version-controlled models—with the ability to define KPIs and translate stakeholder questions into durable data products.
Core stack: SQL, Python, dbt, Apache Airflow, Snowflake, Amazon Redshift, BigQuery, Fivetran, AWS S3, Tableau, and Sigma Computing.
Location: Brooklyn, New York. Open to the right analytics engineering and data engineering opportunity.