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I am a seasoned Data Engineer with over 10 years of experience in designing and building scalable data solutions. I specialize in developing robust data pipelines across cloud platforms (AWS, GCP, Azure) and on-premise environments. Services Offered: ✅ Database Migration – Expertise in migrating databases such as BigQuery, Redshift, PostgreSQL, MySQL, and more. ✅ Data Warehouse Architecture – Designing efficient and scalable data warehouses tailored to business needs. ✅ ETL/ELT Development – Building ETL/ELT pipelines using Python Airbyte, DBT. ✅ Data Pipeline Architecture & Deployment – Implementing and automating workflows with Apache Airflow and Kubernetes. ✅ Application Containerization – Deploying and managing applications using Docker and Kubernetes. ✅ Data Visualization & Reporting – Creating interactive dashboards and reports with Looker Studio to drive business insights. Let’s discuss how I can help optimize your data infrastructure and unlock valuable insights for your business. Feel free to reach out!

I build production data infrastructure for small to medium-sized businesses — cloud warehouses, dbt modeling, reliable ingestion pipelines, and reporting systems they can actually run their business on. I've worked with performance marketing agencies, DTC e-commerce brands, Shopify agencies, real estate lead-gen companies, SaaS startups, B2B service businesses, media and creator-led agencies, professional services firms, and subscription-based businesses — supporting 7-figure ad budgets, multi-channel attribution setups, financial and operational reporting, and environments where executives make real revenue decisions on the numbers. Accuracy isn't optional in any of those contexts, and that's the bar I build to. Most of the teams I work with come to me after struggling with conflicting KPIs across platforms, fragile "Frankenstein" automations, manual reporting bottlenecks, and dashboards they can't fully trust. What they leave with is a clean, scalable data foundation built for long-term growth — not just another dashboard. Beyond technical depth, I'm a clear communicator with both engineers and non-technical founders. I'll explain why your numbers don't reconcile across platforms in language your CEO understands — and I'll fix it. Services I Offer: → Data Warehouse Architecture: Designing and building production data warehouses on BigQuery, Snowflake, or Postgres — schema modeling, dbt projects, and the foundations that make every dashboard downstream trustworthy. → ETL & Data Pipelines: Replacing fragile Supermetrics/Zapier sprawl with reliable, auto-refreshing ingestion via Airbyte, Fivetran, or custom Python pipelines. Marketing, CRM, revenue, and ops data — unified in one place. → Analytics & Reporting Systems: Building multi-page Looker Studio, Power BI, or Metabase dashboards that read from a modeled warehouse, not raw API pulls — fast, accurate, and reconciled across every report. → AI Systems & LLM Integration: Building production-grade AI systems on top of your data — lead scoring and qualification engines, automated classification and enrichment, AI agents that read from your warehouse and act on it, and Claude/OpenAI-powered workflows that write results back to your CRM, Slack, or reporting layer. → Business Automation & Workflow Engineering: n8n and Make automations that handle data syncing, lead routing, enrichment, internal notifications, and operational workflows — reliably, with monitoring and alerting built in from day one. My core stack and expertise: → Programming Languages: Python (Pandas, Polars, PySpark), SQL, Bash → Data Modeling & Transformation: dbt, SQL, Python — clean staging → intermediate → mart architecture with tests and documentation → Cloud & Warehousing: BigQuery, Snowflake, PostgreSQL, DuckDB, S3 + Delta Lake → Data Ingestion / ETL: Airbyte, Fivetran, Meltano, custom Python connectors → Orchestration: Airflow, Dagster, Mage, Cloud Functions, GitHub Actions → Analytics & Tracking: GA4, Mixpanel, event-based analytics, server-side tracking → Visualization & BI: Looker Studio, Power BI, Metabase, Superset, Tableau → Automation & AI: Make, n8n, Claude API, OpenAI API, LLM-powered workflows → DevOps: GitHub Actions, Docker, Terraform, CI/CD pipelines

Data Engineer specializing in Analytics Engineering and cloud data pipelines. I design and build end-to-end pipelines — from raw ingestion to BI-ready data models — across the modern data stack. My recent projects span three major cloud platforms: Snowflake, Google BigQuery, and Azure/Databricks, using tools like dbt, Spark, Delta Lake, and GitHub Actions. I follow best practices including Medallion Architecture, dimensional modeling (Star Schema), incremental processing, data quality testing, and CI/CD automation. Whether you need a clean data warehouse, a reliable ETL pipeline, or automated reporting infrastructure, I deliver production-quality work with proper documentation and testing.

As a seasoned Data Engineer with 8 years of rich experience in crafting scalable data solutions, I excel in transforming complex data challenges into streamlined, efficient systems that drive business growth. With a Master's degree in Data Engineering, I bring deep expertise in data architecture, pipeline construction, and automation, underpinned by a robust proficiency in programming languages like Python and SQL, alongside mastery in big data frameworks and cloud platforms (AWS, Azure, GCP). My career highlights include leading strategic data migrations, developing cutting-edge analytics systems, and pioneering advanced ETL processes that significantly enhance operational efficiency and decision-making capabilities. At the heart of my approach is a commitment to leveraging technology to solve complex problems, and collaborating closely with cross-functional teams to foster a data-centric culture within organizations. I'm here to offer my extensive skills in data processing and analytics, database management, data visualization, and DevOps practices to empower your business with data-driven insights and solutions. Let's harness the power of your data to unlock new opportunities and propel your business forward.

With 12 years experience in Data Engineering, ETL/ELT, Business Intelligence and Dataviz, I am the perfect contractor to help your company capitalize on its data. I specialize in building Business Intelligence platforms for companies that want to develop a data-driven mindset. I thrive managing complex projects involving data collection, integration and visualization. My goal is to democratize data and empower users to make impactful decisions with dynamic reporting, no matter on which data literacy level they are. My skills include: - Databases: SQL, MySQL, Oracle, PostgreSQL, SQL Server. - Data integration: Fivetran, Stitch, Airbyte, Matillion, Azure Data Factory, Talend. - Data transformation: SQL, dbt, Python, Airflow, Dagster. - Data warehousing: AWS Redshift, BigQuery, Azure, Snowflake, Panoply. - Data visualization: Tableau, Microsoft Power BI, Looker, Metabase, Google Data Studio (now Looker Studio), Domo, AWS QuickSight, Klipfolio, QlikView/Sense, Mode, Superset. All work is completed by me, and you can be assured that I will not outsource to anyone else. I believe that clear, transparent and regular communication goes hand in hand with project success and I will always ask dozens of question to make it happen. I pride myself on providing the highest quality of work, and will never complete a project until the client is fully satisfied.

Certified Data Engineer & Analyst | Turning Raw Data Into Business Impact I help companies build reliable, scalable data systems that actually drive decisions, not just dashboards nobody reads. With 4+ years of hands-on experience and certifications in [IBM / Google / AWS / Microsoft. I deliver end-to-end data solutions across the full stack: from ingestion to insight. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT SETS ME APART ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ✅ Certified across multiple platforms (IBM, Google, AWS — [list yours]) ✅ Multi-cloud expertise: AWS, GCP & Azure — not just one ecosystem ✅ Full-stack data: I handle engineering, analytics, and ML in one engagement ✅ AI-ready pipelines: I build infrastructure that feeds LLMs and ML models correctly ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CORE SERVICES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📦 Data Engineering & ETL Pipelines Design and build automated, fault-tolerant pipelines using Apache Kafka, Apache Airflow, and dbt. I handle batch and real-time streaming workflows — the kind that run at 3am without waking you up. ☁️ Cloud Data Architecture (AWS · GCP · Azure) From Redshift and BigQuery to Azure Synapse, I architect managed and serverless solutions that scale with your business and optimize your cloud spend. 📊 Data Analytics & Business Intelligence Turn siloed data into actionable dashboards using Power BI, Tableau, Looker Studio, and Grafana. Specializing in KPI frameworks, funnel analysis, and executive reporting. 🧠 Machine Learning & Predictive Analytics Build and deploy ML models (classification, regression, clustering, forecasting) using Python (scikit-learn, TensorFlow, PyTorch) — from training to production APIs. 🔍 Data Mining & Extraction Web scraping, API integration, and automated data collection pipelines. I extract value from unstructured sources and feed it into clean, queryable systems. 🗄️ Database Design & Optimization Proficient in MongoDB, MySQL, PostgreSQL, BigQuery, and Firebase. I design schemas for performance and build query-optimized data warehouses and data lakes. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECHNICAL STACK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Languages → Python · SQL · Scala · R · Java · Terraform Pipelines → Apache Kafka · Apache Airflow · Docker · ETL/ELT Cloud → AWS (S3, Glue, Redshift, Lambda) · GCP (BigQuery, Dataflow) · Azure Synapse Databases → BigQuery · MongoDB · MySQL · PostgreSQL · Firebase BI & Viz → Power BI · Tableau · Looker Studio · Grafana · QuickSight · GA4 ML → scikit-learn · TensorFlow · PyTorch · Pandas · NumPy ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📜 CERTIFICATIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🎓 IBM Data Science Professional Certificate 🎓 Google Professional Data Engineer 🎓 AWS Certified Data Analytics – Specialty 🎓 Microsoft Azure Data Engineer Associate (DP-203) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW I WORK ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ I ask the right questions before writing a single line of code. You'll always know where your project stands, no surprises, no ghost deliveries. I work well with both technical leads and non-technical stakeholders, and I document everything so your team can own what we build together. Message me with your data challenge | I typically respond within a few hours.