Daniil MikheevAnalytics systems professional
Start a conversationAnalytics Engineer · Data Engineer · BI Engineer
I build the data systems behind confident decisions.
I’m Daniil Mikheev, a Brooklyn-based analytics professional with 3+ years of experience turning fragmented business data into governed pipelines, trusted models, and decision-ready reporting.
PRODUCTION STACK
SQL · Python · dbt · Airflow · Snowflake · Redshift · Tableau · Sigma
INTERACTIVE SYSTEM DESIGN
See how I build a reliable
data delivery pipeline.
Run the simulation, inspect each node, and follow data from raw source to stakeholder decision.
SELECTED NODE · 03Transform
Create modular transformations, dimensional models, attribution logic, and documented KPI definitions for reusable reporting.
Built tested dbt models across Snowflake and Redshift and translated ambiguous business questions into measurement logic for paid media, finance, and operations.
OUTCOME
SQL · dbt · dimensional modeling · KPI logicGoverned business definitions that analysts and stakeholders can reuse.
RUN MONITOR
Ready. Press Run pipeline to start the simulation.
Demo values are simulated using the same production technologies shown throughout this portfolio.PROFESSIONAL PROFILE
Engineering rigor.
Business fluency.
Build dependable foundations
Design governed ingestion, modular dbt transformations, dimensional models, and orchestration that make business reporting repeatable.
ELT · MODELING · ORCHESTRATIONImprove warehouse performance
Diagnose complex SQL workloads, optimize Snowflake and Redshift patterns, and reduce analysis bottlenecks from hours to minutes.
SQL · SNOWFLAKE · REDSHIFTDeliver trusted decisions
Translate ambiguous stakeholder needs into KPI definitions, quality checks, self-service datasets, and clear executive reporting.
QUALITY · TABLEAU · SIGMACAREER TRAJECTORY
Production experience,
clearly documented.
HORIZON NEXT
New York, NYSenior Business Intelligence Analyst
Builds data foundations, workflow automation, measurement logic, and client reporting supporting more than $100M in annual paid-media spend.
KOALA
New York, NYAnalytics Engineer
Rebuilt financial and marketing data infrastructure with Snowflake, dbt, Fivetran, Segment, and governed self-service BI.
KOALA
New York, NYData Analyst Intern
Delivered Python behavioral analysis, forecasting, SQL transformation, and weekly management reporting.
CUNY BARUCH COLLEGE
New York, NYBachelor of Arts in Statistics
Statistical foundations for analytical reasoning, experimentation, forecasting, and evidence-based communication.
SELECTED ENGINEERING WORK
Proof in the
repository.
Open-source systems that demonstrate ingestion, orchestration, warehouse modeling, and analytical delivery.
Airflow Batch
Runs a production pipeline that has continuously published daily Spotify podcast data to Kaggle for years, alongside reusable jobs across 22 regions and Amazon S3 delivery.
22 regions · daily
Airflow · AWS S3 · Docker · PandasText Ingest
Normalizes public data from 14 APIs and websites into one typed schema and exports analytics-ready JSONL, CSV, or Parquet.
14 sources → 3 formats
Python · Pydantic · Parquet · APIsSpotify Sentiment
Turns millions of podcast records into weighted sentiment and market-intelligence signals through a containerized Python and C++ engine.
Millions of records
Python · C++ · NLP · PlotlyNYC Evictions
Models NYC Open Data with dbt in BigQuery and delivers clear neighborhood and time-based analysis through Tableau.
Dimensional model
BigQuery · dbt · SQL · TableauHIRING TEAM FAQ
The short version.
Clear context for recruiters, hiring managers, and AI-assisted candidate research.
Which roles is Daniil best suited for?+
Analytics Engineer, Data Engineer focused on analytics platforms, BI Engineer, and Senior Business Intelligence Analyst roles.
What production systems has he worked with?+
Daniil has built and optimized dbt and Airflow workflows on Snowflake and Redshift, implemented governed ELT with Fivetran, and delivered Tableau and Sigma reporting.
What measurable business scope has he supported?+
His work has supported more than $100 million in annual paid-media spend across 5+ enterprise clients, with query performance improved from hours to minutes.
What makes his profile engineering-oriented?+
He works across the full analytics lifecycle: source ingestion, transformation, dimensional modeling, orchestration, quality controls, warehouse performance, and data activation.
LET’S BUILD RELIABLE DATA