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👋 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.

Summary Skills: Hadoop: Nifi, Sqoop, Kafka, HDFS, Schema Registry, Atlas, Streams Messaging Manager. Programming Languages / Scripting: SQL, NOSQL, Python, R, Bash, C#, API. Relational Databases: Oracle, MYSQL, PostgreSQL, Hive. Non-Relational Databases (NOSQL): HBase, MongoDB. Data Virtualization: Tibco Data Virtualization Studio. Data Visualization: Tibco Spotfire, Power BI, MongoDB Charts, DataIku, Kibana, ThingsBoard, Banana BI. ELK Stack: ElasticSearch, Logstash, Kibana. Experience: * Design and development of processes for automatically extracting, transforming and loading data from external data sources into the perimeter of the Hadoop Data Hub. * Development of applications for multi-threaded processing, enrichment and aggregation of data from various streams in real time for banking systems. * BI development. * Building visualizations (reports) for data analysis from insurance systems, loyalty programs and the flow of transactions. * IronPython/R scripts for BI.

Senior Python Data and AI Engineer with 5+ years of production experience across data platform engineering, AI agent development, and ML automation systems. I build pipelines, agents, and backends that teams depend on daily. My work spans a 200+ pipeline data mesh for an S&P 500 supply chain company, a multi-crew AI agent system live with paying customers, large-scale Spark-to-Snowflake migrations, and entity resolution platforms unifying data across dozens of independent databases. I specialize in making data infrastructure reliable, observable, and cost-efficient at scale. Here is technical stack I bring to your project: ⚡ AI & LLM Development - AI agent development with CrewAI — multi-crew orchestration for research, PDF analysis, and scraping in a live production product - LangChain for RAG pipelines, tool integration, and LLM orchestration connected to real data sources - Production Artificial Intelligence integrations — agentic workflows, tool use, structured outputs (OpenAI, Anthropic, Gemini) - Chatbot development and AI bot deployment for customer-facing automation with multi-step reasoning - Natural language processing pipelines for document classification, entity extraction, and semantic similarity - Machine learning model integration and deep learning inference layers connected to data pipelines - Automation of research and analysis workflows using multi-agent AI development systems 🏭 Data Platform & Automation Engineering - Snowflake (SnowPro Core certified) — advanced data warehouse management, cost optimization (30% Snowflake compute reduction), multi-domain governance - ETL and ELT pipeline design at scale — 200+ pipelines across a data mesh for an S&P 500 enterprise platform - CDC (Change Data Capture) pipelines with DLT against S3 snapshots for lightweight, cost-efficient incremental processing - Large-scale data migration — 50+ pipelines migrated from Apache Spark to Snowflake + dbt with zero business continuity loss - Data mining and entity resolution — 3-tier staging/validation/gold processing with conflict scoring and ambiguity handling - Database architecture for analytical workloads: Snowflake, AWS Redshift, PostgreSQL, MongoDB, DynamoDB, AWS OpenSearch - Real-time streaming pipelines with Apache Kafka and AWS Kinesis Firehose for operational data ingestion 📡 Data Extraction, Scraping & API Integration - Data and web scraping — multi-source extraction pipelines embedded directly into AI agent crews - API integration with data vendors, SaaS platforms, and internal microservices — REST, webhooks, and polling adapters - API development with FastAPI and Flask — async backends exposing data platform outputs and AI agent results - Data mining from unstructured web content using NLP classification within CrewAI workflows - Competitor intelligence and market research automation via scraping and API pipelines - Web application backends with FastAPI — RESTful API design, async processing, and structured data delivery 🌐 Cloud, Infrastructure & Backend Engineering - Amazon Web Services — S3, Lambda, Kinesis Firehose, SQS, MWAA, Aurora, Redshift, Bedrock, OpenSearch (AWS Data Engineer Associate certified) - GCP — Cloud Composer, Cloud Functions for orchestration and event-driven pipeline triggers - Docker, Kubernetes, ArgoCD, and Terraform for production-grade infrastructure as code and GitOps deployments - CI/CD with GitHub Actions and CircleCI — automated pipeline testing, data contract validation, and deployment workflows - Monitoring with Datadog, Astronomer, and Atlan — pipeline health, warehouse cost tracking, and data quality alerting 🤝 When you work with me, you get a clear workflow: - Consultation — we start with a real conversation about your goals, needs, and constraints - Honest scoping — you get a clear estimate with realistic timelines, based on what you actually needed - Full transparency — step-by-step roadmap, regular check-ins, and open communication from start - Clean delivery — proper documentation and handoff, so you fully own everything I build - Ongoing support — I stay available after delivery and remain involved for as long as you needed 💬 Ready to start? Contact me — I respond fast. Buzz words: Python Artificial Intelligence Machine Learning JavaScript API API Integration Node.js AI Agent Development React AI Development PostgreSQL Amazon Web Services Web Development Web Application AI App Development Data Scraping Data Science Java Automation Deep Learning AI Model Integration TensorFlow RESTful API Django Natural Language Processing Claude PHP Chatbot Development API Development TypeScript Supabase n8n OpenAI API AI Bot Full-Stack Development C# FastAPI Docker Next.js LLM Prompt Engineering Data Mining Computer Vision SaaS LangChain Software Architecture & Design Data Extraction Database Architecture SQL Lead Generation Vector Database Web Scraping

⚙️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.

👋 I am new to Upwork, but not new to the work. I have 8+ years of real production experience, and I take every project seriously. I build data systems, AI pipelines, and automation workflows that work reliably at scale.😎 I am a Senior Data Engineer and AI Integration Specialist with 8+ years of experience. I do not just move data from one place to another. I design systems that turn complex and messy data into clean, useful information and build automation that saves teams hours of manual work every week. 🧠 Tech stack: Python, SQL, PySpark, AWS, Snowflake, BigQuery, Databricks, PostgreSQL, Airflow, dbt, Docker, FastAPI, n8n, Claude API, OpenAI, LangChain, Playwright, Supabase, Airtable, Salesforce, GoHighLevel 💡 What I bring: • Pipelines that process 100M+ records every month • Up to 70–80% reduction in manual reporting • AI and LLM integrations that automate real business workflows • Web scraping systems that collect and enrich data at scale • Strong focus on data quality, testing, and stability • Solutions that are easy to support and scale ⚙️ What I do: • Build data pipelines from APIs, databases, and files • Design data models and warehouse architectures • Work with cloud platforms: AWS, BigQuery, Snowflake, Databricks • Set up orchestration with Airflow, Prefect, and dbt • Build AI agents and RAG systems using Claude and OpenAI APIs • Automate workflows with n8n, Make, and custom Python scripts • Build web scrapers with Playwright, Scrapy, and BeautifulSoup • Integrate CRMs: Salesforce, HubSpot, Airtable, GoHighLevel • Create dashboards in Power BI, Tableau, Looker, Metabase, and Retool Experience: ▶️ eCommerce: 100+ data sources, product datasets, marketplace integrations ▶️ FinTech: data pipelines, financial reporting, regulated environments ▶️ Healthcare: data cleaning and structuring for analysis and reporting ▶️ Real Estate and PropTech: pricing models, permit data pipelines ▶️ Government: automated document and data processing ▶️ Migrations: legacy SQL and Excel to modern cloud platforms 🚀 If you need reliable data infrastructure, AI automation, or clean analytics, I can help.

"Imagination is more important than knowledge" - A. Einstein. I am good at solving problems. And there for I have such tool's as Python, Scala, Amazon Web Services. Which gives me everything that I need for problem investigation and decide what to do next. I have 3 years of commercial experience from full stack web developer to big data engineer. I am really hard working person. For 3,5 years I worked in average 9-10 hours per day, and that includes even weekends. Experience: Senior Big Data Engineer at Newfire Partners Employed : Sep 2018 - Present Lviv Region, Ukraine Junior Big Data Engineer at N-iX Employed : May 2017 – Sep 2018 Lviv Region, Ukraine Full Stack Python developer at Synergy Way Employed : Jul 2016 – Mar 2017 Lviv Region, Ukraine Python web developer at Freelance Employed : Jan 2016 – Jun 2016 Lviv Region, Ukraine Skills: Python - Pyspark, Pandas, Numpy, Flask, Django, PDFKit, etc.. SQL - Redshift, Hive, Presto, PostgreSQL, MySQL, MsSQL, etc.. AWS - Lambda, EC2, EMR cluster, S3, Athena, Redshift Cluster, SQS, SNS, SES, SSM, etc.. Scala - Just a beginner, Spark, Akka, Scopt, Slick Big Data - Data lake/Data Warehouse architecture and implementation. My biggest gap is streaming data loads and transformations (didn't had a chance to work with Spark streaming, Kafka, Zookeeper), GIS - Research and Implementation almost all of Vegetation Indexes. Analyzed different remote sensing systems like Landsat 4-8, Quickbird, OrbView, etc.. Mostly worked with multi-spectral images. My objective is professional, scientific and career growth.