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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’m a Data & Operations Consultant with a background in analytics, technology, and hospitality. I help businesses improve their operations, systems, and decision-making through data, automation, and digital tools. Hospitality & Hotel Operations • PMS setup, migration & configuration • Booking platform setup and channel management • Revenue management & pricing tools • Hotel websites, SEO & Google Ads • Operational and systems optimization I’ve supported hospitality operations across hostels, boutique hotels, and short-term rental properties by setting up systems for bookings, pricing, channel management, and day-to-day operational workflows. Data & Analytics • Data analysis, reporting & dashboards • Process automation and operational analytics • SQL & data transformation • Data pipelines & ETL workflows • Dashboard development & reporting automation in Looker & Tableau • Data cleaning, analysis, and KPI tracking I have over 5 years of experience as Senior Data Analyst, Analytics Engineer and Data Analyst within a technology startup, giving me a strong combination of technical skills and practical business experience. I’m comfortable working independently, taking ownership of projects, and working directly with business owners to find practical solutions. Available for both one-off projects and ongoing support.

Google Cloud Certified Professional Data Engineer | Turning Data into Decisions and Revenue I’m a Professional Data Engineer passionate about helping companies transform raw, disconnected data into powerful analytics and revenue-driving insights. By combining strong technical expertise with a deep understanding of business impact, I design and implement modern data infrastructures and warehouses that empower teams to make smarter, faster, and data-driven decisions. I specialize in building end-to-end data ecosystems, from ingestion and transformation to visualization and insight delivery, ensuring data flows seamlessly and becomes a strategic asset rather than a bottleneck. 💡 What I Do Build data warehouses and data pipelines on Google Cloud (BigQuery, Cloud Functions, Cloud Composer, GCS) to centralize and automate business data. Design and deploy analytics layers and dashboards (Looker, Looker Studio) that highlight the KPIs and metrics that matter most. Create scalable APIs and automation pipelines with FastAPI, Python, and Docker to integrate data across systems. Support data-driven growth by helping teams understand their performance, optimize operations, and unlock new revenue opportunities. ⚙️ Technical Expertise Languages: Python Cloud: Google Cloud Platform (Certified Professional Data Engineer) : BigQuery, Cloud Run, Cloud SQL, Firestore, Looker, Cloud Composer, Cloud Functions Databases: PostgreSQL, MongoDB Containers & Versioning: Docker, Git Frameworks: FastAPI, Flask Machine Learning: Scikit-Learn, PyTorch 🚀 What Makes Me Different I don’t just move data — I make it speak. My focus is always on the business outcome: helping organizations understand their customers, improve their operations, and generate more revenue through the dashboards, data models, and key metrics I deliver. Let’s connect to discuss how I can help your company build a reliable data foundation, turn insight into action, and grow through intelligent analytics.

I'm a Big Data Engineer with 9+ years of experience delivering data projects across Big Data, Cloud, and AI-driven environments. My main skills are: Programming languages: Scala, Java, Python, C++, SQL Big Data / HDP-CDP: Spark, Hive, Hadoop, HBase, Solr, Elasticsearch, Oozie, Airflow, Pig, Kerberos, Ranger, LDAP, NiFi, Talend, Kafka Cloud: Azure (Data Factory, Databricks, Synapse, ADLS Gen2, Microsoft Fabric), AWS (Glue, Lambda, EMR, Redshift), Google Cloud CI/CD & DevOps: Git, Jenkins, Kubernetes, Docker, Control-M, Terraform AI/ML enablement: building and optimizing data pipelines feeding ML/AI models, working with data scientists on feature engineering, data quality, and scalable data preparation for AI use cases During my experience, I've tackled a wide range of challenges related to job optimization, data quality, pipeline reliability/availability, cost efficiency, and large-scale migrations across regulated industries (banking, finance, insurance). I'd be glad to bring this experience to your project, with 30 hours/week availability.

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.

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