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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 partner, building enterprise data systems since 2009. As a Python Big Data Engineer, I specialize in designing scalable data systems. My role as a Big Data Engineer is focused on building reliable pipelines, automation, and analytics infrastructure. Every Python Data Engineer decision I make is oriented toward scalability, performance, and data reliability. I work as a Big Data Engineer and Python Data Engineer on enterprise-grade systems where architecture matters for both ingestion and transformation layers. As a Data Engineer, I ensure that raw data becomes structured, usable, and ready for business intelligence. 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. Last updated June 15, 2025

Need a web scraping expert who can also build the backend around your data? I have 5 years of experience solving difficult extraction tasks, browser automation (Selenium, Playwright), session/cookies. I’ve built scrapers and data pipelines for different websites, where scraping is allowed. I always keep terms of service and do ethical scraping. I can deliver results in CSV, Excel, Google Sheets, send to your API, or ship the scraper itself. Just write me! Recent projects: • Scraped 200k car listings for an ML price prediction model using multiprocessing. • Built a content-harvesting backend (pipelines + Google Drive/Sheets) used in production. • Led a Django project that scrapes 100k+ content items (videos, articles, etc.) per week. • Developed an internal Python library for PostgreSQL via asynchronous SQLAlchemy. • Reviewed and fixed a client’s FastAPI project to improve reliability and speed. • Built automation tools for various websites. • Scraped transcripts for YouTube via an official YouTube API. Tech stack: • Python 3.12+, SQL; asyncio and multiprocessing for fast crawling • Scraping: Beautiful Soup, Scrapy, aiohttp, requests; Selenium, Playwright; HTML, CSS, XPath, JSON, • Backend: FastAPI, Django; JWT, OAuth2; PostgreSQL, SQLAlchemy (sync/async), SQLite, Alembic; Redis • Data & automation: Pandas, NumPy; Google Sheets/Drive; Telegram API (Telethon, python-telegram-bot); OpenAI GPT API • Dev & ops: Docker, CI/CD, GitLab, GitHub; pytest If you need parsing, scraping, crawling, data extraction, data mining, or an automation script, just send 1-2 target URLs and a sample of the desired output columns. I’ll propose the best approach, the anti-bot plan, and a quick prototype. I always keep the terms of service. I also handle data cleaning and enrichment with Pandas, plus ETL pipelines, so you get ready to use datasets. As a Python developer who cares about code quality, I write clean, readable code that follows PEP8 and OOP principles, and I cover key parts with tests for long-term stability. Send me a brief description and technical requirements of your project, and I’ll solve your problem!

I am a Top-Rated Data Scientist and Researcher with a PhD in Remote Sensing and over 15 years of experience delivering high-performance R&D solutions for industrial, academic, and enterprise sectors. I specialize in bridging the gap between raw, noisy data and actionable business objectives, transforming complex signals into deployable machine learning pipelines. Whether it's developing novel diagnostic algorithms, predicting physical parameters from multi-channel data, or building advanced event-detection models, I design end-to-end architectures that solve complex, non-standard problems. My Recent R&D Successes Include: - Time-Series & High-Frequency Data: Engineered robust detection models for electric and water appliances using high-frequency data, providing highly accurate recognition pipelines. - Computer Vision & Remote Sensing: Developed predictive models for physical and nutritional parameters using hyperspectral imaging. - SOTA AI Implementation: Investigated and deployed ready-to-production State-of-the-Art (SOTA) AI/ML solutions based on advanced Kaggle competition methodologies. - Biomedical Data: Deep sleep data visualization and advanced processing for physiological monitoring. How I Help Businesses: - End-to-End Problem Solving: I handle the entire pipeline—from raw data evaluation, advanced feature engineering (using communication theory), to hyperparameter optimization and rigorous out-of-fold validation. - Advanced Digital Signal Processing (DSP): Extracting critical insights from 1D/2D signals, including noise assessment, filtering, and compression. - Deployable ML Architectures: Building predictive models with PyTorch, XGBoost, and OpenCV, optimized for real-world integration. Recognized Expertise: - Upwork Skill Certified in Data Science & Data Analytics - AWS Certified Machine Learning & Cloud Foundations - Author of 100+ Scopus-indexed publications (h-index: 14) - Tech Stack: Python (PyTorch, SciPy, Scikit-Learn, OpenCV), MATLAB, Signal Filtering, Multivariate Statistics, SQL, Cloud Computing (AWS).

AI Developer Top-rated Plus (Upwork Top 1%) AI Agents, Generative AI & Full Stack Development I help companies as AI Developer design, validate, and ship AI products fast, with a strong focus on AI Agents, Generative AI, and proAI Developer (Upwork Top 1%) AI Agents, Generative AI & Full Stack Development 8+ Years in AI & Machine Learning — production systems, not prototypes 50+ AI Products Delivered — from MVP to enterprise scale Top 1% AI Developer on Upwork AI MVPs shipped in 4–8 weeks — structured delivery, no overengineering HIPAA / SOC2 / GDPR-ready AI systems Full-cycle delivery — architecture, development, deployment, and optimization Trusted by teams in Healthcare, FinTech, Logistics, Real Estate, and E-commerce As a Senior AI Developer and Full Stack Software Engineer, I build production-ready Generative AI applications, custom AI Agents, and scalable machine learning systems. With 8+ years in Machine Learning and software architecture, I work as an AI Developer, AI Engineer, and Full Stack Developer. Together with Indeema, a full-cycle AI and custom software company, I lead teams that turn AI strategy into deployed systems, from data pipelines and LLM orchestration to scalable backend architecture and enterprise integrations. Proven track record with a 100% Job Success Score Consistently earning 5★ client feedback 8+ years building production-ready AI systems Clean, scalable, and enterprise-grade architecture From idea to deployed MVP in 4–8 weeks My structured delivery approach takes products from idea to working MVP in 4–8 weeks. AI Agent Consulting & Delivery I consult and implement agentic AI systems that observe, reason, and act across business workflows: AI Agents & Autonomous Workflows LLM-powered Products and Copilots RAG Systems and Knowledge AI AI Orchestration Architectures AI Integration into existing platforms AI MVP validation and architecture design My approach combines strategy, architecture, and delivery helping companies avoid costly overengineering and ship production-ready AI faster. What I Deliver AI Agent for Document Management AI Agent for Real Estate AI Agent for Inventory Management AI Agent for Fintech and Financial Management AI Agent for Medical Clinics and Image Analysis AI System for Advanced Analytics Agentic AI System Design Generative AI Development Machine Learning and Predictive Analytics AI App Development and Automation NLP, Computer Vision, and Data Science Enterprise AI Integration and Modernization I work across Healthcare, FinTech, Logistics, Real Estate, and E-commerce, building systems that improve operations, reduce manual work, and unlock new revenue streams. AI MVPs in 4–8 weeks using a structured delivery methodology HIPAA / SOC2 / GDPR-ready solutions AI integration with ERP, CRM, and legacy systems Dedicated AI teams and fractional CTO leadership ⚙️ Technologies Python, TensorFlow, PyTorch, LangChain, LLM APIs (OpenAI, Claude, Gemini), AWS SageMaker, Vertex AI, Docker, Kubernetes, MLOps pipelines, vector databases, real-time AI systems. If you’re looking for a partner who can design the right AI solution and actually ship it, let’s talk.

As the Founder and Owner of a successful Zoho solutions business, I bring 10+ years of hands-on experience with Zoho and 20+ years in app, web, and database development across dozens of industries. I understand the challenges founders face—manual processes, inefficient workflows, and lack of system integration—and I design solutions that save time, increase productivity, and drive growth. I specialize in implementing, customizing, and expanding Zoho applications to meet the unique needs of your business. From custom Zoho CRM development to complex integrations via APIs, Zapier, or Make, I create systems that align perfectly with how you work. My goal is to automate your sales, marketing, and business processes while standardizing workflows for maximum efficiency. Zoho Expertise: ✅ Zoho One | ZeptoMail | Zoho CRM | Zoho Flow | Zoho Desk | Zoho Analytics ✅ Zoho Books | Zoho Inventory | Zoho Creator | Zoho Recruit & Zoho People ✅ Zoho Subscriptions | Orchestly | Zoho Catalyst | Custom API Integrations What I Deliver: Fully customized Zoho workflows that match your business processes Automation of repetitive tasks to free up your team’s time Custom modules, fields, views, and filters to make Zoho work the way you do Seamless integrations across Zoho apps and external systems As a founder myself, I know what it takes to scale a business efficiently. Let’s work together to unlock the full potential of Zoho for your business, automate your operations, and drive measurable results.

I build NLP systems that work in production - RAG pipelines, agentic workflows, custom entity extraction for complex documents. A Data Scientist with a rare combination of deep industry experience and academic teaching, I'm fluent in both modern LLM-based approaches and classical NLP techniques. Core expertise: - Traditional NLP approaches and modern LLM-based solutions - Designing and implementation of RAG & Agentic systems - Developing custom GenAI multistep processing flows/pipelines for non-trivial NLP tasks Tech skills: - Programming - Python, Dart (Flutter) - Frameworks and libs: LangChain, LlamaIndex, PydenticAI, HuggingFace, Keras & TensorFlow, scikit-learn, SciPy, etc. Teaching: - Machine Learning and Deep Learning courses lecturer at Lviv Polytechnic National University - Curriculum development with emphasis on practical, modern and industry-relevant applications Projects: - RAG-based information extraction from documents - developed map-reduce LLM chain for multiple information extraction from PDF files, scaled solution for a multi-document processing - Custom entities extraction - construction and implementation of classification and extraction pipelines for long financial documents - Code-generation assistant - developed RAG based code generation assistant for internal libraries support Work approach: I prioritize transparent communication and am flexible to work either from simple working solutions with iterative improvements or comprehensive approaches from the start.