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I build AWS, GCP, and Azure data pipelines that marketing and SaaS teams query daily — clean, documented, and reliable. My last pipeline turned 30+ Meta Ads streams into a star schema a growth team runs every morning. Recent production work: • Meta Ads → BigQuery/PostgreSQL pipeline (Airbyte → S3 → PySpark + Apache Hudi) with SCD2 dimensional modeling, SHA-256 deduplication, and late-arriving attribution handling. • dbt + BigQuery + Looker Studio analytics on 99K+ orders — 7 staging models, 6 marts, 28 data-quality tests, 4-page dashboard. • Real-time Kafka + PySpark streaming pipeline running 9 concurrent queries with 4 windowed aggregations into PostgreSQL. • Full AWS data platform on Terraform + EKS + EMR-on-EKS + Airflow with CI/CD. How I work: I document every architectural decision before I build — scope, schema, and tradeoffs written down first — so downstream teams know exactly what they're querying. You get async-friendly updates on US/EU hours and pipelines that don't silently break on schema drift or duplicate events. Core stack: Python, PySpark, SQL, Apache Airflow, dbt, Apache Hudi, Apache Kafka, AWS (S3, Glue, EMR, EKS, Athena), GCP/BigQuery, PostgreSQL, ClickHouse, Snowflake, Docker, Terraform, Looker Studio. Focus: ETL/ELT pipelines, dimensional modeling, data warehousing, streaming, and marketing analytics. If you're building a data pipeline or need messy data turned into something your team can trust, send me the brief — I reply within 24 hours.

I help companies build reliable, scalable data pipelines that turn raw data into actionable insights. I’ve worked with enterprise clients like Comcast (USA) , SKY (UK), O2 (UK), Telefónica (Spain) and other global organizations delivering ETL pipelines, analytics, and BI dashboards using Airflow, PostgreSQL, Python, and cloud platforms. How Can I Help You Are you looking to: ✅ Build scalable end-to-end data pipelines? ✅ Turn raw data into actionable insights? ✅ Create interactive dashboards and compelling visualizations? ✅ Optimize your ETL workflows for better performance? You've come to the right place. I specialize in Data Engineering, Data Analysis, Business Intelligence, and Data Visualization, delivering high-impact data solutions for international clients across diverse industries. 🛠️ Technical Expertise 🔸 Data Engineering ETL/ELT pipeline development & optimization Tools: Apache Airflow, Talend, Mage.ai, Airbyte, Databricks, Kafka, Debezium Languages: Python 🔸 Data Analytics & Modeling Statistical analysis, predictive modeling, and data profiling Tools: Python, R 🔸 Data Visualization Interactive dashboards using Power BI, Tableau, Looker Studio 🔸 Data Warehousing & Cloud Platforms Platforms: AWS, Azure, GCP, Snowflake 🔸 Business Intelligence BI architecture & modeling Report automation and performance monitoring dashboards 🔸 SQL & Database Management Strong command of SQL (T-SQL, MySQL, PostgreSQL, SQL Server) Stored procedures, ad-hoc queries, CTEs Database design, performance tuning, migration & administration 🔸 Big Data Management & Infrastructure Large-scale data system design 🔸 Data infrastructure development 🔸 Quality assurance and reliability engineering ✅ Why Work With Me? Full-Stack Data Expertise: From raw data ingestion to interactive dashboards, I cover the complete data lifecycle Proven Experience: Successfully delivered large-scale data solutions for international clients Detail-Oriented & Reliable: Committed to delivering scalable, clean, and well-documented solutions Timezone Flexibility: Comfortable working in your preferred timezone Strong Communication: Clear updates and proactive problem-solving Let’s work together to build data systems that drive decisions, not confusion. 📩 Feel free to reach out — I’m happy to discuss your data needs!

I'm a results-driven Senior Data Engineer specializing in building cloud-native data pipelines and architectures that transform raw data into actionable business insights. With 100% job satisfaction and a 5-star rating, I deliver solutions that exceed expectations. What I Bring: Cloud Expertise: Azure, GCP, and AWS with deep experience in Databricks, BigQuery, and Data Factory Real-Time Processing: Built streaming pipelines reducing reporting latency from hours to minutes Enterprise Scale: Consolidated 50+ data sources, processed 100M+ daily transactions, and supported 1000+ users Architecture Design: Expert in Lakehouse, Medallion, and Star Schema implementations with strong data governance Proven Results: Reduced reporting latency by 98% through real-time pipeline optimization Improved query performance by 40% with strategic data modeling Achieved 35% increase in compliance reporting accuracy Delivered zero-downtime deployments with automated CI/CD I partner closely with stakeholders to understand business needs and deliver data solutions that drive decision-making. Whether it's building real-time analytics platforms, implementing data governance, or optimizing existing pipelines, I focus on scalable, maintainable solutions. Let's discuss how I can help transform your data into a strategic asset.

I’m a Data Engineer with strong expertise in AWS, GCP, Python, Spark, Airflow, and modern analytics tools. I build end-to-end cloud data solutions, automate workflows, and create scalable systems that support reporting, analytics, and business intelligence. What I Do: Cloud Data Engineering: Design and deliver complete data solutions on AWS and GCP. ETL / ELT Pipelines: Build, optimise, and automate data workflows using both code and no-code approaches. Automation Solutions: Create smart, automated workflows using Data Stream, n8n, Windsor, and Zapier to reduce manual effort. Airflow: Orchestrate, schedule, and monitor complex data pipelines with Apache Airflow. Data Warehousing: Design structured, scalable data warehouses for fast and reliable analytics. Data Analytics: Convert raw data into clear insights using Power BI, Looker, Metabase, and Qlik. Big Data Tools: Hands-on experience with BigQuery, Redshift, Spark, and other large-scale data technologies.

I help companies build scalable data platforms, modern lakehouse architectures, and AI-powered analytics systems using Azure, Microsoft Fabric, Databricks, Snowflake, BigQuery, AWS, and Power BI. I am a Certified Data Engineer with 5+ years of experience designing and implementing enterprise data pipelines, cloud data warehouses, real-time analytics platforms, and interactive business intelligence dashboards that enable organizations to make faster, data-driven decisions. I specialize in building high-performance ETL/ELT pipelines, modern data lakehouse architectures, and advanced analytics solutions that process millions of records daily while ensuring reliability, scalability, and cost efficiency. I also help organizations modernize legacy data infrastructure, migrate on-premise systems to cloud platforms, and implement automated data workflows that support business intelligence, machine learning, and AI-driven decision systems. Recent Impact • Built scalable ETL pipelines processing millions of records daily using Azure Data Factory and Databricks • Designed enterprise data warehouses and lakehouse architectures using Medallion Architecture and Delta Lake • Implemented real-time data streaming pipelines using Kafka and Spark Structured Streaming • Developed Power BI dashboards and semantic models for large-scale analytics and executive reporting What I Can Help You With ✔ Data Engineering & ETL/ELT Pipelines Design and development of scalable data pipelines using Azure Data Factory, Microsoft Fabric Dataflows, Databricks, Apache Spark, PySpark, dbt, and Airflow. ✔ Modern Data Warehouse & Lakehouse Architecture Building enterprise data platforms using Medallion Architecture, Delta Lake, Star Schema, and Dimensional Modeling. ✔ Microsoft Fabric & Azure Data Platform Development of Lakehouse solutions using Microsoft Fabric, OneLake, Synapse, Azure Data Factory, Azure Data Lake, and Azure Databricks. ✔ Real-Time Data Streaming Implementation of streaming pipelines using Kafka, Event Hub, and Spark Structured Streaming. ✔ Power BI & Advanced Analytics Creating Power BI semantic models, Direct Lake models, optimized DAX measures, and high-performance dashboards for large-scale datasets. ✔ Cloud Data Platform Migrations Migration of on-premise databases and legacy data warehouses to Azure, Microsoft Fabric, Snowflake, Databricks, and BigQuery. ✔ AI & Automation Solutions Building AI agents, Generative AI pipelines, NLP workflows, and AI-powered automation systems integrated with enterprise data platforms. Core Technologies & Tools Cloud Platforms Azure • Microsoft Fabric • AWS • Google Cloud Data Engineering Azure Data Factory • Databricks • Apache Spark • PySpark • dbt • Airflow • Kafka • Event Hub Data Warehousing & Lakehouse Snowflake • BigQuery • Delta Lake • Medallion Architecture • Star Schema • Data Modeling Analytics & BI Power BI • DAX • Power Query • Semantic Models • Direct Lake Programming & Development Python • SQL • PySpark • Scala • REST APIs • Webhooks AI & Automation Generative AI • AI Agents • Prompt Engineering • NLP Pipelines • MLOps Industry Experience I have delivered enterprise analytics and data platforms for: • Healthcare Analytics • Finance & Banking Data Systems • SaaS Product Analytics • Manufacturing Intelligence • Enterprise Reporting Platforms My Approach I focus on business-first data architecture, scalable cloud-native data platforms, cost optimization, and secure AI integration with production-grade reliability. My goal is to build data systems that are scalable, reliable, and easy to maintain while enabling organizations to extract real value from their data. ✅ If you're looking for a Senior Data Engineer who can design, build, optimize, and automate your entire data ecosystem using Azure, Microsoft Fabric, Databricks, Snowflake, and Power BI, let's connect.

Your dashboards look fine. Your pipelines are running. But your leadership has quietly stopped trusting the numbers and nobody knows why. That's the problem I fix. I'm a Data Engineer with 3+ years of experience building end-to-end data platforms across FMCG, Government Analytics, and Manufacturing. I specialize in Azure Databricks, Microsoft Fabric, and AWS designing lakehouse architectures and ETL pipelines that don't break, don't lie, and don't need a dedicated person to babysit them. Most clients come to me after something has already gone wrong: pipelines failing silently on Friday nights, dashboards showing conflicting numbers, or ML models that stopped refreshing weeks ago without anyone noticing. I rebuild the foundation so the data is something leadership can actually act on. What I build • Lakehouse platforms on Azure Databricks, Microsoft Fabric, and AWS scalable, monitored, and built to last • ETL/ELT pipelines on Azure Data Factory and AWS Glue automated, tested, and zero manual intervention • Customer analytics models: churn prediction, CLV, lead scoring, and workforce productivity • Executive Power BI dashboards built on clean semantic models no spaghetti DAX, no contradicting numbers • Data migrations from on-premise to cloud with full documentation your team can maintain