Vlad Z.

You have data. It just does not work.
🔴 Numbers nobody trusts and no actionable insights
🔴 Cloud costs keep climbing and nobody can explain why.
🔴 AI project everyone is excited about has been waiting for clean data that never arrives.

I build the foundation that fixes all of it. 15 years. 100+ companies. 92% of clients come back.

✅ Databricks Partner ✅ $1.5M+ Infrastructure Managed ✅ HIPAA & GDPR Compliant

I'm a Senior Big Data Engineer with 15+ years building the data engineering foundation that businesses actually rely on.
Whether you need an AWS Data Engineer to clean up cloud pipelines, an Azure Data Engineer for Microsoft stack integrations, a GCP Data Engineer for BigQuery architecture, or a Python Data Engineer to automate ETL workflows, I handle it end-to-end.
Managing petabyte-scale systems and $1.5M+ infrastructure budgets.

WHAT I BUILD AS A BIG DATA ENGINEER

✅ ETL / ETL Pipeline and Data Warehouse
Automated pipelines on dbt, Airflow, AWS Glue, and Azure Data Factory. Medallion Architecture (Bronze, Silver, Gold) that brings structure to raw data and delivers clean, business-ready datasets. Reporting goes from days to minutes.

✅ Real-Time Streaming
Kafka, Spark, and Flink for pipelines that process millions of events as they happen. Good data engineer solutions catch problems in minutes, not hours.

✅ Customer 360 and Single Source of Truth
One customer identity across CRM, billing, POS, ticketing, and e-commerce. From 5% transaction match rates to full operational visibility. Automated deduplication and master data management.

✅ Cloud Cost Optimization
25-50% compute cost reduction through query optimization, resource rightsizing, and smart scheduling across AWS, GCP, and Azure.

✅ AI-Ready Data Infrastructure
Governed pipelines and curated Gold-layer datasets that make AI models work in production, not just in demos.
The data engineer foundation that AI teams need before anything else.

✅ Data Governance and Quality
Unity Catalog, HIPAA and GDPR-compliant architectures, automated validation, and data lineage.
Data your teams actually trust.

✅ Databricks Engineering
Unity Catalog governance, Medallion Architecture, batch and streaming pipelines built for performance and cost.