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🏆 AUTODESK-CERTIFIED EXPERT & PUBLISHED AUTHOR I specialize in cutting-edge AI-powered CAD solutions that transform how engineering teams work. As author of "Autodesk Vault Programmer's Cookbook" and Autodesk Expert Elite Member, I combine deep CAD expertise with advanced AI capabilities. 🚀 CORE SPECIALIZATIONS: • AI-CAD Integration (LLM + CAD workflows, text-to-model generation) • Autodesk Platform Services (APS/Forge) custom applications • Vault PDM Implementation & Migration (6+ enterprise deployments) • Fusion 360 API Development & Automation • Python-based CAD workflow automation • OCR + AI document processing for engineering 💼 RECENT PROJECTS: • Built AI-powered document analysis systems for manufacturing • Automated SolidWorks workflows saving 40+ hours/week • Implemented enterprise Vault systems for global teams • Created custom Fusion 360 plugins for design automation Ready to 10x your engineering productivity with AI-powered CAD solutions.

👋 Hi, I’m a 🏆 ⭐️⭐️⭐️⭐️⭐️Top Rated Python Data Engineer & Data Visualization Expert at GroupBWT - a 100+ person data engineering company and official AWS, Snowflake, Databricks & Anthropic partner, building enterprise data systems since 2009. I help companies turn fragmented data into reliable, scalable systems from data ingestion and transformation to modern data platforms, analytics, AI-ready infrastructure, and executive dashboards. My focus is not just on building pipelines that work today, but on designing data infrastructure that can scale as your data, sources, and business requirements grow. Here’s how I support our clients as a Python Big Data Engineer: ✅ Our ETL pipelines process over 100 million records monthly across major cloud data warehouses
 ✅ My solutions reduce manual reporting effort by up to 80% through end-to-end automation
 ✅ We build Python Data Engineer workflows for integrating and transforming complex datasets ✅ Every pipeline is tested and quality-checked to meet enterprise data standards 🔁 What I Do as a Python Azure Data Engineer and azure data engineer ⚙️ Data Engineering (Python AWS Data Engineer Core Work) 🔹 API & event-based ingestion using Python Data Engineer best practices 🔹 Python + SQL transformations 🔹 Data modeling, schema design, enrichment 🔹 ETL/ELT into Snowflake, Databricks, BigQuery with Python Data architecture 🔹 Monitoring, retries, observability & data quality testing for Python Data pipelines 🔹 CI/CD for pipelines & cloud cost optimization as a Python Data Engineer Platforms I’ve delivered as a Python Data Engineer process 100M+ records/month, integrate 30–80+ APIs, and power real-time BI environments. 📊 Data Visualization & BI (Python gcp Data Engineer Perspective) 🔹 I bridge raw data with business decisions as a Python gcp Data Engineer 🔹 Power BI, Looker Studio & Tableau dashboards connected by Python GCP Data Engineer pipelines 🔹 Executive KPI reporting built by a Python AWS Data Engineer 🔹 Semantic layer & metric standardization in Python Data Engineer systems 🔹 Real-time reporting (<5 min latency) enabled by Python Data Engineer architecture 🔹 BI performance optimization from a Python Data Engineer point of view 🔹 Data storytelling for leadership & operations powered by Python Data Engineer workflows My solutions as a Python Data Engineer reduce manual reporting effort by up to 70-80% and significantly improve forecasting accuracy. 🧩 Recent Experience (Python Data Engineer and Machine Learning Projects) 🔹 Retail & eCommerce Data Warehousing (Python Data Engineer) Built ingestion + normalization pipelines for 120+ eCommerce sources, syncing ~500K SKUs/day into Snowflake / BigQuery using Python Data Engineer architecture. 🔹 FinTech Ingestion & Reporting Layer (Python Data Engineer ) Delivered automated pipeline pulling from 30+ sources (APIs, DBs, files), built with Python Data Engineer logic for validation, transformation, and reporting. 🔹 Government ETL & Document Processing (Python Azure Data Engineer | Data Analyst) Automated processing of 10K+ documents/day using Python Azure Data Engineer workflows and Machine Learning: extraction, classification, mapping, and database loading. 🔹 Healthcare Data Normalization & Compliance (Python AWS Data Engineer | Data Analyst) Cleaned millions of records using Python AWS Data Engineer pipelines with Machine Learning, schema mapping, PII-aware handling, and reproducible transformations. 🔹 Large-scale Cloud Migrations (Python Data Engineer | Data Analyst) Migrated legacy systems into BigQuery/Snowflake using Python Data Engineer architecture with Machine Learning, incremental loads and automated pipelines. 💻 Tech Stack (Python Data Engineer | Data Analyst Toolkit) ⚙️Languages: Python, SQL, DAX, Power Query, PySpark, Scala, Bash/Shell, JavaScript, etc.
 ⚙️Data Engineering & Processing: PySpark, dbt, Airflow, Prefect, CDC, REST & GraphQL, etc.
 ⚙️Data Warehouses & Databases: Snowflake, Databricks, BigQuery, AWS, PostgreSQL, MSSQL
 ⚙️Cloud Platforms: AWS: S3, Glue, Lambda, CloudWatch, Athena, Redshift, BigQuery, Dataflow
 ⚙️Data Modeling & Architecture: Star schema, Snowflake schema, Lakehouse architecture, etc.
 ⚙️Monitoring & Data Quality: dbt, Prometheus, Grafana, AWS CloudWatch, GCP Monitoring, etc.
 ⚙️BI & Visualization: Power BI (Desktop, Service), Tableau, Looker Studio, Metabase, etc.
 ⚙️DevOps & CI/CD: Git, GitHub, GitLab CI, Docker, Terraform, etc. 🚀 If you need automated pipelines, clean data models, and executive-level dashboards - as a Python Data Engineer and Data Analyst I can help you build a robust system from end to end. ➡️ Invite me to your job and let’s design a scalable data strategy with a Python Data Engineer leading the way.

💫 The Story Started as a broke philosophy student in Kyiv who taught himself Python to automate his part-time job at a logistics company. Accidentally built an ETL system that saved them $50K annually. Philosophy degree? Abandoned. Data engineering career? Born. 💭 Philosophy "Data engineering is like being a digital architect, plumber, and fortune teller all at once. We build the invisible infrastructure that powers tomorrow's innovations, fix the pipes when they break, and predict what will break next. It's the most beautifully chaotic job in tech." 📍 Currently: Building the future of financial data while chasing the perfect work-life-travel balance 🎪 Fun Fact: Once fixed a critical production bug while stuck in a Romanian cable car during a thunderstorm. The WiFi was surprisingly good.

I have more than 20 years experience in database and application development. Main areas of expertise are: - database design and development (Oracle, Postgresql, MS SQL, MySQL, Pervasive (Btrieve), MS Access); - building BI solutions (Pentaho, SSAS, Kibana) - ETL process development (PDI Kettle, SSIS, python); - data warehouses design and development; - OLAP cubes development; - reports development (Crystal Reports, Pentaho Report Designer); - Java development engineer;

⚙️Turning Raw Data Into Scalable Analytics I help companies design and modernize enterprise data platforms: building ETL pipelines, cloud data warehouses, and automation that turn disconnected systems into one reliable source of truth for your business. ✅ 8+ Years as a Data Engineer 📊 Successful Data Engineering Projects Across 22+ Industries in 5 Countries 👨‍💼 Leading a Team of Data Engineers 🌎 Fluent English Hi, I’m Roman — Senior Data Engineer, Data Engineer Consultant, and Enterprise Data Engineer with extensive experience building scalable data platforms, cloud ecosystems, and modern analytics infrastructure. As a Data Engineer, I help companies design, optimize, and modernize enterprise data environments that transform raw information into actionable business intelligence. My background as a Data Engineer covers the full lifecycle of data engineering — including ETL development, cloud migration, data warehouse architecture, real-time processing, and analytics automation. Why Clients Choose Me ⚡ Senior Data Engineer experienced in enterprise-scale ETL and cloud solutions 📈 Data Engineer focused on scalable analytics architecture and performance optimization 🌎 Fluent English communication and stakeholder management 👨‍💼 Lead Data Engineer with experience managing distributed engineering teams 🔍 Business-oriented Data Engineer focused on automation and measurable outcomes Core Expertise Data Engineering & ETL: Azure Data Factory (ADF), SSIS, Apache Spark, Databricks, PySpark, Apache Kafka, dbt Core, Data Pipeline Automation, Data Migration & Transformation, Batch & Real-Time Processing — delivered by an experienced Data Engineer. Data Warehousing & Architecture: Enterprise Data Warehouse (DWH), Lakehouse Architecture, Databricks Lakehouse, OLAP & SSAS, Data Modeling, Data Governance, Azure Synapse Analytics, Snowflake, BigQuery — implemented by a Senior Data Engineer. Databases: Microsoft SQL Server, PostgreSQL, MySQL, Oracle, Azure SQL Database, MongoDB, Neo4j, Redis, SQLite — managed and optimized by a Data Engineer. Cloud Platforms: Microsoft Azure, AWS (Glue, Athena, S3, MSK, EC2, RDS), Snowflake, Office 365 — modern cloud ecosystems built by a Data Engineer. Programming & Analytics: Python, SQL, Power BI, DAX, Power Query, API Integrations, Data Automation — advanced technical expertise from a Data Engineer. 💼 Services I Offer 🛠️ ETL Pipeline Development Data Engineer building scalable ETL/ELT pipelines Data Engineer automating ingestion and transformation workflows Data Engineer optimizing existing processes and infrastructure Data Engineer integrating APIs, SaaS, ERP, and CRM systems 🛠️ Data Warehouse Engineering Data Engineer designing enterprise DWH solutions Data Engineer implementing scalable analytics platforms Data Engineer creating OLAP models and data marts Data Engineer improving governance and data quality frameworks 🛠️ Cloud Data Engineering Data Engineer implementing Azure cloud data platforms Data Engineer leading cloud migration and modernization initiatives Data Engineer designing lakehouse architecture solutions Data Engineer processing big data using Spark and Databricks 🛠️ Data Integration & Automation Data Engineer connecting SQL, APIs, Excel, ERP, and CRM systems Data Engineer automating reporting and workflows Data Engineer configuring orchestration and refresh processes Data Engineer centralizing enterprise analytics ecosystems 🛠️ BI & Analytics Support Data Engineer preparing optimized datasets for reporting Data Engineer improving Power BI data models Data Engineer supporting executive dashboards and KPI tracking Data Engineer increasing reporting scalability and performance As a dedicated Data Engineer, my goal is to help businesses create reliable, scalable, and future-ready data platforms that support analytics, automation, and strategic decision-making. Whether you need a Senior Data Engineer for ETL development, a Cloud Data Engineer for migration projects, or a Lead Data Engineer to architect a complete analytics ecosystem — I can help. 📩 Send me a message and let’s discuss how a Data Engineer can accelerate your business goals.

𝑪𝒍𝒊𝒆𝒏𝒕: 𝒘𝒆𝒆𝒌𝒍𝒚 𝑻𝒓𝒆𝒍𝒍𝒐 𝒄𝒉𝒆𝒄𝒌-𝒊𝒏𝒔? 𝑴𝒆: 𝒇𝒖𝒏𝒄𝒕𝒊𝒐𝒏𝒂𝒍 𝒎𝒐𝒅𝒖𝒍𝒆𝒔 𝒆𝒗𝒆𝒓𝒚 1-2 𝒅𝒂𝒚𝒔 😏 🏆 Top Rated Plus Full Stack Developer ✅ 100% Job Success 🚀 200+ projects in 20+ years ⚡ Page loads under 2 sec at 5 - 10M monthly users I provide Full Stack Developer and Node.js Backend Developer work for platforms that cannot go down. Why hire my Node.js Backend Developer (s): - production SaaS, APIs and platforms owned by one Node.js Backend Developer and SaaS Developer on 3 - 10+ year retainers - Node.js Backend Developer, Full Stack Developer and SaaS Developer in one pair of hands My Node.js Backend Developer designs services, REST and GraphQL APIs, queues and event pipelines. My back end developer Node.js practice runs on databases of 100M+ user records. Typical Node.js Backend Developer engagements: multi-tenant SaaS APIs, real-time platforms, data pipelines, AI-backed services. Core Node.js Backend Developer stack: Node.js, NestJS, ExpressJS, TypeScript, PostgreSQL, Redis, Elasticsearch, AWS, GCP, Heroku, Docker, Kubernetes. My Full Stack Developer owns systems end-to-end - one Full Stack Developer handling Node.js services, React frontends, data models and infra. It replaces fragmented setups where a website developer, web developer and front end specialist were stitched together. Adjacent angles: full stack developer SaaS for B2B platforms, Python full stack developer pairings for data and AI, full stack developer AI integrations on a Full Stack Developer codebase, full stack developer React work for SaaS dashboards, full stack developer Shopify extensions, full stack web developer rebuilds of legacy SPAs, full stack AI SaaS developer engagements shipping LLM features. My SaaS Developer work helps founders ship multi-tenant SaaS and B2B platforms. A SaaS Developer engagement covers auth and RBAC, Stripe billing, observability, anti-abuse and event tracking for SaaS marketing. I have shipped a Webflow developer SaaS pairing, a B2B SaaS booking system developer engagement, a UI UX designer SaaS pipeline, a SaaS explainer video flow and a SaaS sales console wired into the SaaS Developer backend. A Python developer track owns scraping, ETL and AI workflows. Python NodeJS migrations land in my Node.js Backend Developer practice when consolidating dual stacks. Flutter Node.js and Vue.js Node.js setups join the Node.js Backend Developer core when mobile or admin SPAs need it. A React developer pairing handles SaaS dashboards on top of the Node.js Backend Developer API. A WordPress developer or Shopify developer hand-off covers CMS migrations onto a Node.js Backend Developer core. A mobile app developer pairing extends the Node.js Backend Developer SaaS into iOS and Android. As CEO I oversee every Node.js Backend Developer engagement - I stay close to discovery with founders, match the right Node.js Backend Developer engineers and answer for delivery. My Node.js Backend Developer engineers own the code. Clients hire me for Node.js Backend Developer work when they need: - a Node.js Backend Developer who owns architecture, APIs and scaling - Full Stack Developer delivery replacing 3 - 5 contractors - a SaaS Developer fluent in multi-tenancy, auth, billing and RBAC - a software developer practice with CEO-level budget discipline Recent Node.js Backend Developer and SaaS Developer work I shipped: - Built a flagship Node.js Backend Developer and SaaS Developer cybersecurity SaaS on NestJS, PostgreSQL and Redis, handling 170M+ requests a week at 500 RPS peaks for 1M+ MAU and surviving 50K users a minute during national TV spikes. - Shipped a device verification SaaS - one Node.js Backend Developer codebase powering web, Telegram bot and Developer API - 4K+ DAU, 15K checks a day, 1M+ lifetime, 80%+ via API, user base nearly doubled in 2025. - Rebuilt a Node.js Backend Developer e-commerce data pipeline that dedupes 50M+ products and keeps search under a second for 300 - 500K daily users, cutting cloud spend 9x ($10K a month). - Scaled a multi-currency voting SaaS - a Full Stack Developer and SaaS Developer build - to 2M+ users in 10 countries with WebSocket vote locking, 5,000 users online daily, $2.5M+ revenue and $300K+ paid to winners. - Ran a Node.js Backend Developer ticket automation platform keeping 50 - 500 parallel bots per event on a 3 - 5 minute order cycle with 100K queued orders; the same Node.js Backend Developer spine reused for day trading dashboards and a stock trading app analytics layer. Clients search by role, and the same Node.js Backend Developer and SaaS Developer fields all of them - an API Developer, a REST API Developer or a Backend Engineer, a NestJS Developer or NextJS Developer, React Node work, and Software Engineer, Full Stack Software Engineer or Full Stack Software Developer profiles. Need a Node.js Backend Developer who delivers Full Stack Developer and SaaS Developer work on time and stays long-term - let's talk.