Senior Data Engineer | GCP | BigQuery | DBT | Airflow | Vertex AI | GA4 | Analytics Engineering I am a Senior Data Engineer with 6+ years of experience building scalable, cost-efficient, and production-grade data platforms on Google Cloud Platform (GCP). I specialize in designing end-to-end data pipelines, modern data warehouses, and analytics solutions that drive measurable business impact. In addition, I have deep expertise in Google Analytics (GA4) data architecture and reporting. I design GA4-to-BigQuery data pipelines, transform raw event-level data into analytics-ready models, and build audience segmentation and attribution frameworks for marketing performance optimization. I also develop executive-level and operational dashboards in Looker and Looker Studio, building scalable semantic layers, optimized explores, and self-service reporting solutions that empower marketing, product, and leadership teams with real-time insights. My focus is always on delivering clean data models, cost-efficient infrastructure, and actionable analytics that drive growth.

I'm a Senior Data Engineer specializing in Python, Snowflake, dbt, SQL, and AI-powered automation. I help businesses automate repetitive processes, build reliable data pipelines, and turn raw data into scalable systems that save time and reduce operational costs. Over the past several years, I've built production-grade data platforms serving hundreds of client environments, developed AI-driven workflow automation tools, engineered cloud-native data pipelines, and integrated business systems using APIs. My work has reduced infrastructure load by 60%, automated complex operational workflows, and helped teams eliminate hours of manual work each week. I can help with: • AI automation and business workflows • Python development • Snowflake, SQL, and dbt • ETL/ELT pipeline development • API integrations • Data modeling and analytics engineering • Docker, Kubernetes, and CI/CD • Dashboard and reporting automation I focus on delivering solutions that are reliable, maintainable, and designed for long-term business value—not just quick fixes.

Backend systems that scale. Data pipelines that don't break. AI features that actually work in production. I'm a Python backend and data engineering specialist with 8+ years of experience building production-grade systems - first in Poland, now serving clients across the US and worldwide. My path here is a bit unusual: I started in digital marketing for an online marketplace, which taught me how technical decisions tie directly to business metrics like conversion, retention, and revenue. That perspective still shapes how I build software today - I don't just write code, I build things that move the needle for your business. 🔷 WHAT I DO 🔹 Backend Development with FastAPI & Django I design and build RESTful and async APIs that are fast, well-documented, and easy to maintain. Whether it's a greenfield FastAPI microservice or a legacy Django monolith that needs refactoring, I write clean, typed, testable Python code following SOLID principles and real test coverage. 🔹 Cloud Infrastructure with AWS & Docker I containerize applications with Docker and deploy them on AWS (EC2, ECS, Lambda, S3, RDS, CloudFront) with CI/CD pipelines that ship code safely and often. I'm comfortable owning infrastructure end-to-end, from a local docker-compose setup to an auto-scaling production environment. 🔹 RAG & GraphRAG Systems I build Retrieval-Augmented Generation pipelines that connect LLMs to real, private data using vector search, hybrid retrieval, and chunking strategies tuned for accuracy. I also build GraphRAG systems with Neo4j, where entity relationships and knowledge graphs improve answer quality well beyond flat vector search. I've integrated these systems with OpenAI, Anthropic, and open-source models through LangChain and LlamaIndex. 🔹 Data Engineering: Snowflake, Neo4j, ETL I design ETL/ELT pipelines that move data reliably from messy sources into clean, queryable warehouses. I work extensively with Snowflake for analytics workloads and Neo4j for graph-based data modeling, which is also useful for fraud detection and recommendation engines. 🔶 INDUSTRIES & PROJECT TYPES I've worked on internal tools for e-commerce marketplaces, backend APIs for SaaS products, data pipelines for fintech reporting, and RAG-powered chatbots and internal knowledge assistants for teams that needed fast, accurate answers from large document sets. If your project involves moving data, exposing it through an API, or making it queryable by an LLM, it's likely within my wheelhouse. 🟢 WHY CLIENTS WORK WITH ME • 8+ years of hands-on coding experience, not just consulting or management • Worked inside small, fast-moving IT companies in both Poland and the US, so I know how to operate with limited resources and tight timelines • A marketing background means I understand the "why" behind a requirement, not only the "what" • Clear communicator: detailed updates, the right questions asked upfront, no disappearing mid-project • I treat every codebase like it's going to production tomorrow, because it probably is 🏗️ TECH STACK Languages: Python, SQL Frameworks: FastAPI, Django, Django REST Framework, Flask AI & Data Retrieval: RAG, GraphRAG, LangChain, LlamaIndex, vector databases (Pinecone, Weaviate, FAISS), LLM integration (OpenAI, Anthropic, Llama) Data Engineering: Snowflake, Neo4j, ETL/ELT, Apache Airflow, dbt, PostgreSQL, MySQL DevOps: Docker, AWS (EC2, ECS, Lambda, S3, RDS), CI/CD (GitHub Actions, GitLab CI), Nginx Other: Celery, Redis, RabbitMQ, pytest, Git ✅ HOW I WORK I start every project with a short discovery conversation to understand the real goal, not just the feature list. Then I propose a clear plan with milestones you can track progress against. I write tests, document my code, and leave systems in a state that another developer - or future you - can pick up without confusion. I'm available for fixed-price projects with a defined scope and for long-term hourly engagements where I become an extension of your team. If you need a backend developer who can also think like a data engineer, and increasingly like an AI engineer, let's talk about your project. Keywords: Python developer, backend developer, FastAPI developer, Django developer, REST API development, AWS developer, Docker engineer, DevOps, cloud engineer, data engineer, ETL developer, ETL pipeline, Snowflake developer, Neo4j developer, graph database, knowledge graph, RAG, Retrieval Augmented Generation, GraphRAG, LLM integration, LangChain, LlamaIndex, vector database, OpenAI API, Anthropic API, AI engineer, Python automation, microservices, PostgreSQL, MySQL, NoSQL, API integration, full stack Python, software engineer, backend architecture, scalable systems, CI/CD pipeline, GitHub Actions, data pipeline, data warehouse, SQL developer, Celery, Redis, async Python, Pydantic,

Got a process that's eating too much time? Data that's hard to trust or hard to access? That's where I come in. I help businesses automate manual work, clean up data pipelines, and build systems that teams can actually rely on. I've done this across multinational and tech companies with results like: • Cut processing time from 16 hours to 3 hours • Reduced time-to-market from 100 to 30 days • Freed up 1 full-time resource through automation • Migrated 160 data scripts with zero integrity loss • Cut analyst turnaround time by 50% Here's what I can help you with: • Data pipeline and ETL development (Airflow, DBT, Snowflake, Redshift) • SQL data modeling and transformation • Task and process automation (Python, VBA, Alteryx, RPA) • Data quality monitoring and governance • Dashboard data layer development (Tableau) If you have a data or automation problem, I'm likely the person who's solved it before.

I help companies build reliable, production-grade data platforms on Databricks and Snowflake — pipelines that move data cleanly from source systems to analytics and AI workloads, without silent failures or 3 a.m. breakages. Over 7+ years as a data engineer (currently Lead Data Engineer), I've designed and shipped end-to-end pipelines for enterprise clients: SQL Server → Databricks (Bronze/Silver/Gold Medallion) → Snowflake, orchestrated in Apache Airflow with transformations in dbt. Recent work includes a hash-based reconciliation system that caught 78,000+ silently mutated rows across a 400M-row table with 100% accuracy, and a config-driven data quality framework built on Databricks. What I bring: • Databricks end-to-end — Delta Lake, Unity Catalog, Workflows, Managed Iceberg • Snowflake architecture, modeling, and cost/performance tuning • Orchestration with Apache Airflow (I'm an Airflow Global Champion) — plus Prefect and Dagster • dbt modeling, Spark/PySpark, and Python for scalable ETL/ELT • AWS + Azure, including secure networking (PrivateLink, NAT) for production pipelines • AI-ready infrastructure: RAG pipelines, MCP servers, and platforms designed for agentic workloads I also write for the Apache Airflow blog, the Snowflake community, and Medium — so I document and hand off what I build cleanly. Whether you need a pipeline designed from scratch, a broken one fixed, a migration handled, or a platform architected for analytics and AI — tell me what you're trying to ship and I'll tell you exactly how I'd approach it.

🚀 AI SaaS Developer | Lovable.dev Expert | Supabase & OpenAI Integration Specialist I help startups, founders, and growing businesses turn AI ideas into production-ready SaaS products, mobile apps, and scalable web applications fast. Whether you’re building a new AI-powered MVP, improving an existing Lovable app, fixing AI-generated code, or preparing for launch, I can help you move from concept to a polished, launch-ready product quickly and efficiently. I specialize in Lovable.dev, Supabase, React/Next.js, OpenAI integrations, and AI-assisted development workflows, helping founders build, optimize, and scale SaaS platforms with clean architecture and fast execution. What I Build ✔ AI SaaS platforms & MVPs ✔ Lovable.dev applications & AI-generated app optimization ✔ AI chatbots & AI agents ✔ Supabase backend systems & authentication flows ✔ OpenAI-powered apps & workflow automation ✔ Marketplace & booking platforms ✔ Subscription-based SaaS products ✔ Automation dashboards & internal tools ✔ Mobile-ready SaaS products ✔ iOS & Android app deployment support My Tech Stack • Lovable.dev – rapid AI SaaS and web app development • Supabase – database architecture, authentication, RLS, edge functions, backend systems • React / Next.js / TypeScript / Vite – scalable, production-ready applications • OpenAI API – AI agents, chatbots, assistants, automation workflows • Stripe – SaaS subscriptions, billing systems, payment integrations • API integrations & Webhooks – third-party platforms, automations, server-side workflows • Vercel / Cloud Deployment – production hosting and launch optimization What I Can Help You With 🔹 Build a Lovable.dev SaaS MVP from scratch 🔹 Review, fix, and optimize existing Lovable or AI-generated applications 🔹 Convert Lovable prototypes into production-ready, scalable products 🔹 Audit and improve existing codebases for performance, UX, and launch readiness 🔹 Fix Supabase backend issues, authentication, database schema, RLS, and edge functions 🔹 Build AI chatbots, AI agents, and OpenAI-powered workflows 🔹 Develop marketplace, booking, dashboard, and SaaS platforms 🔹 Integrate APIs, webhooks, Stripe payments, CRM tools, and automation systems 🔹 Deploy web apps and prepare products for App Store & Google Play submission 🔹 QA testing, bug fixing, and pre-launch optimization Why Clients Work With Me ✅ Fast MVP development & rapid execution ✅ Production-ready implementation, not just prototypes ✅ Strong experience with Lovable.dev + Supabase workflows ✅ Clean, scalable, and developer-ready architecture ✅ Detail-oriented execution with pixel-perfect improvements ✅ Proactive communication and startup-focused collaboration ✅ Ability to work with minimal hand-holding and fast iterations ✅ Strong understanding of both technical execution and business requirements 💡 Recent Project Types I Work On • Lovable.dev SaaS applications • AI-powered SaaS products • Supabase backends & authentication systems • AI chatbot and automation platforms • Marketplace & booking platforms • Subscription and membership systems • Workflow automation tools • Production optimization for AI-generated apps • Mobile app deployment & launch support • Startup MVP development 📩 If you're building an AI SaaS product, Lovable app, mobile app, chatbot, automation platform, or Supabase-powered application or need help fixing, optimizing, or launching an existing project send me a message and let’s bring it to life. Core Expertise: Lovable.dev | Supabase | OpenAI | React | Next.js | TypeScript | Vite | Stripe | API Integrations | Webhooks | SaaS MVP Development | AI Chatbots | AI Agents | Mobile App Deployment | App Store Submission | Google Play Deployment | Production Optimization | QA Testing | Startup MVPs | AI Workflow Automation | Full-Stack SaaS Development | Marketplace Platforms | Booking Platforms | Subscription SaaS | Backend Architecture | Authentication | RLS | Edge Functions | AI App Development | Claude Code | Cursor | Base44 | Replit | GoHighLevel | Vercel

𝐒𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠 𝐟𝐨𝐫 𝐚 𝐌𝐚𝐤𝐞.𝐜𝐨𝐦, 𝐧𝟖𝐧 𝐚𝐧𝐝 𝐙𝐚𝐩𝐢𝐞𝐫 𝐞𝐱𝐩𝐞𝐫𝐭 𝐰𝐡𝐨 𝐠𝐨𝐞𝐬 𝐛𝐞𝐲𝐨𝐧𝐝 𝐬𝐢𝐦𝐩𝐥𝐞 𝐜𝐨𝐧𝐧𝐞𝐜𝐭𝐢𝐨𝐧𝐬? 𝐀𝐬 𝐚 𝐒𝐨𝐟𝐭𝐰𝐚𝐫𝐞 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫 𝐰𝐢𝐭𝐡 𝟕+ 𝐲𝐞𝐚𝐫𝐬 𝐛𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐒𝐚𝐚𝐒 𝐚𝐩𝐩𝐥𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬, I bring an engineer's POV to complex automation, making sure the solutions are well-built, intelligent, and scalable. I don't just connect App A to App B; I architect scalable Automation solutions (Make.com, n8n, Zapier) designed for complex processes, AI-powered insights, and long-term reliability. If your Automation scenario involves custom API calls, intricate data mapping, Large Language Models (LLMs), or workflows that others find challenging, my technical background is your advantage. This lets me efficiently design and implement advanced AI workflows, including Voice AI Agents, AI-enhanced Customer Support, intelligent Outbound/Inbound Sales processes, AI Chatbots, and AI Virtual Assistants. 𝗠𝘆 𝗔𝘂𝘁𝗼𝗺𝗮𝘁𝗶𝗼𝗻 𝗘𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗜𝗻𝗰𝗹𝘂𝗱𝗲𝘀: - Custom Make.com, n8n, Zapier app development and integrations. - Developing intelligent automations by integrating Large Language Models (LLMs) (e.g., OpenAI/ChatGPT) for tasks like content generation, data analysis, summarization, and decision support. - Building and integrating AI voice agent solutions for enhanced customer interaction, task automation, or internal processes. - Complex scenario building with advanced error handling across all platforms. - API integration within Make.com, n8n, Zapier for services like Jira, Asana, ClickUp, GitHub, GitLab, Airtable, Google Ads, Notion, OpenAI, and much more. - Optimizing existing Make.com, n8n, and Zapier workflows for efficiency and cost savings. 𝗔𝗽𝗽𝘀 𝗜 𝗜𝗻𝘁𝗲𝗴𝗿𝗮𝘁𝗲 𝘄𝗶𝘁𝗵 𝗠𝗮𝗸𝗲.𝗰𝗼𝗺, 𝗻𝟴𝗻, 𝗭𝗮𝗽𝗶𝗲𝗿 (𝗮𝗻𝗱 𝗼𝘁𝗵𝗲𝗿 𝗽𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀): - 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 𝗠𝗮𝗻𝗮𝗴𝗲𝗺𝗲𝗻𝘁: Jira, Asana, ClickUp, Trello - 𝗖𝗥𝗠 & 𝗦𝗮𝗹𝗲𝘀: HubSpot, Salesforce, Pipedrive, Zoho CRM, GoHighLevel (GHL) - 𝗦𝗽𝗿𝗲𝗮𝗱𝘀𝗵𝗲𝗲𝘁𝘀 & 𝗗𝗮𝘁𝗮𝗯𝗮𝘀𝗲𝘀: Google Sheets, Airtable, Notion databases - 𝗠𝗮𝗿𝗸𝗲𝘁𝗶𝗻𝗴 & 𝗔𝗱𝘀: Google Ads, Facebook Ads, Mailchimp, ActiveCampaign - 𝗗𝗲𝘃𝗲𝗹𝗼𝗽𝗺𝗲𝗻𝘁 & 𝗥𝗲𝗽𝗼𝘀𝗶𝘁𝗼𝗿𝗶𝗲𝘀: GitHub, GitLab - 𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻: Slack, Gmail, Outlook - 𝗔𝗜 𝗣𝗹𝗮𝘁𝗳𝗼𝗿𝗺𝘀: OpenAI (ChatGPT, DALL-E, Whisper), other LLM APIs, AI Voice Agent platforms. - 𝗘-𝗰𝗼𝗺𝗺𝗲𝗿𝗰𝗲: Shopify, WooCommerce - 𝗣𝗮𝘆𝗺𝗲𝗻𝘁 𝗚𝗮𝘁𝗲𝘄𝗮𝘆𝘀: Stripe, PayPal - 𝗖𝗹𝗼𝘂𝗱 𝗦𝘁𝗼𝗿𝗮𝗴𝗲: Google Drive, Dropbox And many more via APIs and Webhooks! - 𝗖𝗹𝗼𝘂𝗱 𝗣𝗿𝗼𝘃𝗶𝗱𝗲𝗿𝘀: AWS, GCP and Azure I am Make Foundation Certified and proficient with Zapier, n8n, and custom APIs to complement robust automation solutions. Let's build automation that truly optimizes and intelligently enhances your operations. 𝗞𝗲𝘆𝘄𝗼𝗿𝗱𝘀: Make.com Expert, Integromat, Zapier, n8n, API Integration, Workflow Automation, Business Process Automation (BPA), SaaS Integration, Software Engineer, Custom Automation, Automation Consultant, No-code, Low-code, Jira, Asana, ClickUp, Airtable, Google Sheets, Notion, Google Ads, HubSpot, Salesforce, Shopify, Custom Apps, Webhooks, Python (for scripting if applicable), Technical Automation, AI Agent Development, Automated Workflow, Marketing Strategy, Automation. Happy Automating!

Data Engineer with 3+ years of experience designing, building, and optimizing scalable data solutions in cloud environments, primarily on Microsoft Azure. Experienced in developing ETL/ELT pipelines, data integration processes, and modern data architectures using tools such as PySpark, SQL, Airflow, DBT, Docker, and Azure services. Strong background working with large datasets, data transformation, orchestration, and analytics workflows. Passionate about solving complex data problems, improving pipeline performance, and delivering reliable data solutions that support business decision-making. I am recognized for being proactive, adaptable, detail-oriented, and highly committed to delivering high-quality results. I work effectively both independently and in collaborative teams, with strong communication skills and the ability to quickly learn new technologies and business domains. Key Skills: Azure Data Services PySpark & Spark Apache Airflow DBT SQL & Python ETL / ELT Pipelines Data Warehousing Docker Data Modeling Workflow Automation Cloud Data Architecture Open to remote opportunities with international teams and companies.

A highly skilled Software Engineer with a proven track record of delivering robust data pipelines, AI solutions, scalable ETL solutions, and optimised big data workflows. With 9 years of hands-on experience in data engineering and distributed computing, I specialise in transforming complex business requirements into actionable, data-driven solutions. My Expertise Includes: Big Data Technologies: Mastery in PySpark, Apache Hadoop, Hive, and Kafka. ETL Design & Development: Building efficient ETL workflows using tools like Apache Nifi, Informatica, and custom Python scripts. Data Modeling: Designing scalable data warehouses and lakes using Snowflake, Redshift, and traditional RDBMS. Cloud Platforms: Proficient in AWS (EMR, Glue, S3), Azure (Data Factory, Databricks), and GCP (BigQuery, Dataflow). Performance Optimisation: Tuning Spark jobs, SQL queries, and storage strategies for maximum efficiency.

Most data projects fail not because the code is bad, but because the "human element" was ignored. I’ve spent the last 10+ years working with major companies, and I’ve seen firsthand how high-speed engineering means nothing if the end-users can't trust the numbers. I treat data as a product. When it’s clean and well-managed, it’s an invaluable asset. When it isn't, it’s a liability that quietly eats away at your performance and ROI. How I work: Right-Sized Tech: I won't sell you a massive cloud infrastructure if a leaner solution fits better. Whether we’re using Snowflake, Databricks, or a custom Python-based build, the business case dictates the tool, not the other way around. Every problem can be solved with a hammer, but I’d rather ensure we aren't overspending on a tool that doesn't fit the job. Human-Centric: I build for the people who will actually use the dashboards and reports. Product Mindset: We focus on the "why" behind the data to ensure every pipeline I build adds to your bottom line. My Core Tech Stack: I specialize in building robust, scalable architectures using the modern data stack: Languages: Python (Pandas, PySpark, custom ETL scripts). Transformation & Orchestration: Apache Beam, dbt, Airflow. Cloud Infrastructure: Google Cloud Platform (GCP), Terraform (IaC). Warehousing & Analytics: BigQuery, Snowflake, Databricks. Whether you need a full-scale cloud migration, a complex streaming pipeline in Beam, or a more efficient way to manage your current stack, I’m here to ensure you get a tool that works—not just a bill for expensive software you don't need.