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. I've helped companies reduce cloud costs by up to 50%, eliminate 85% of duplicate master data, automate 80–90% of manual processes, and build data platforms that process millions of records in real time. Whether you need an AWS Data Engineer, Azure Data Engineer, GCP Data Engineer, or Python Data Engineer, I can help you design and deliver the right solution from architecture to production. WHAT I BUILD AS A BIG DATA ENGINEER ✅ ETL / ETL Pipeline and Data Warehouse I build automated ETL/ELT pipelines using dbt, Airflow, AWS Glue, and Azure Data Factory. With Medallion Architecture (Bronze, Silver, Gold), I transform fragmented raw data into clean, reliable, business-ready datasets. ✅ Real-Time Streaming I develop high-performance streaming solutions using Kafka, Spark, and Flink to process millions of events as they happen. ✅ Customer 360 and Single Source of Truth I unify data from CRM, billing, POS, ticketing, and e-commerce systems into one reliable source of truth. ✅ Cloud Cost Optimization I identify infrastructure bottlenecks and optimize queries, resources, workloads, and scheduling across AWS, GCP, and Azure. ✅ AI-Ready Data Infrastructure I prepare governed data pipelines and curated Gold-layer datasets that support AI, machine learning, LLMs, and production-ready AI applications. ✅ Data Governance and Quality I implement Unity Catalog, automated validation, data lineage, and HIPAA/GDPR-compliant architectures. ✅ Databricks Engineering I design and optimize Databricks Lakehouse platforms, Medallion Architecture, Unity Catalog governance, and batch and streaming pipelines. ✅ Migration and Modernization I migrate legacy data warehouses and fragmented systems to modern cloud and Lakehouse architectures. MY RESULTS AS A BIG DATA ENGINEER 🎯 50% Lower Compute Costs – Migrated 21 data sources from fragmented Azure SQL systems to a unified, HIPAA-compliant Databricks Lakehouse for a U.S. pathology lab. 🎯 $75K → $22K/Month in Infrastructure Costs – Reduced monthly cloud spending through ETL optimization and Kafka pipeline redesign. 🎯 85% Less Duplicate Master Data – Built automated ETL pipelines and a governed Single Source of Truth for a global pharmaceutical manufacturer, reducing manual reconciliation by 45%. 🎯 80–90% Less Manual Work – Unified ERP data across 8 manufacturing acquisitions using GCP Medallion Architecture. 🎯 $142M Inventory Impact – Built petabyte-scale demand forecasting solutions achieving 88% accuracy. 🎯 600M+ Products Processed in Real Time – Engineered high-volume Big Data pipelines with Kafka and Apache Flink. 🎯 5-Minute Data-to-Dashboard Latency – Built a centralized data platform and 11 executive dashboards for Tifa Chocolate & Gelato, supporting franchise operations across 34 U.S. states. 🎯 450K Database Entries Processed Daily – Automated ETL and data integration across 10+ e-commerce sources into a centralized data warehouse. 🎯 92% Customer-Count Accuracy – Developed an AI-powered retail video analytics platform using computer vision and edge AI, with event detection in under 2 seconds. 🎯 1M+ Google Search Requests Monthly – Built automated SERP data collection and API pipelines delivering analytics-ready Google Search and Ads data in 7–13 seconds per request. 🎯 7 Operational Systems Unified – Built a Databricks data platform for a UK AI infrastructure company, consolidating operational data for improved visibility and analytics. TECH STACK Warehouses: Snowflake · BigQuery · Databricks · Redshift · Azure Synapse Orchestration: Airflow · dbt · AWS Glue · Azure Data Factory Streaming: Kafka · Spark · Flink · Kinesis Cloud: AWS · GCP · Azure Languages: Python · PySpark · SQL · Scala Infrastructure: Docker · Kubernetes · Terraform · CI/CD WORKING WITH ME I lead big data engineer services at DATAFOREST, a Databricks partner with 100% Job Success Score across 100+ businesses in healthcare, insurance, manufacturing, retail, and fintech. My data engineer expertise covers: Big Data Engineer · AWS Data Engineer · Azure Data Engineer · GCP Data Engineer · Python Data Engineer · Databricks Data Engineer · ETL Data Engineer · Cloud Data Engineer Migration Engineer Big Data Engineer, AWS Data Engineer, Azure Data Engineer