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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

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’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.

Certified Data Engineer with over 8 years of expertise in Data Warehousing, ETL, Big Data, and Data Visualization. I have a proven record of delivering high-quality, on-time projects across industries like healthcare, e-commerce, and real estate. My broad experience and technical proficiency allow me to design tailored data solutions that align with specific business needs, helping organizations gain actionable insights and optimize operations. 🔍 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 / 𝐃𝐚𝐭𝐚 𝐖𝐚𝐫𝐞𝐡𝐨𝐮𝐬𝐢𝐧𝐠: Skilled in designing robust Enterprise Data Warehouses (EDW) using ETL tools and databases for secure, scalable data solutions. 𝐄𝐓𝐋 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐞𝐬: Proficient in developing reliable ETL pipelines and integrating diverse data sources for quality, consistent data flow. 𝐁𝐢𝐠 𝐃𝐚𝐭𝐚 & 𝐂𝐥𝐨𝐮𝐝 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬: Experienced with Big Data technologies like Hadoop and cloud platforms such as GCP, Azure, and AWS, ensuring efficient, scalable data processing. 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧: Adept at creating impactful dashboards using tools like Tableau, Power BI, and Looker Studio, turning complex data into actionable insights. 🔧 𝐒𝐤𝐢𝐥𝐥𝐬: 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐢𝐞𝐬: Vertica, MySQL, BigQuery, Redshift, IBM DB2, Neo4J, SQL Server 𝐄𝐓𝐋 & 𝐃𝐚𝐭𝐚 𝐈𝐧𝐠𝐞𝐬𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Talend Open Studio, IBM InfoSphere DataStage, Pentaho, Airflow, Data Build Tool (dbt), Kafka, Spark, AWS Glue, Azure Data Factory, Google Cloud Dataflow, Stitch, Fivetran, Howo 𝐁𝐈 𝐓𝐨𝐨𝐥𝐬:Tableau, Power BI, Looker Studio 𝐋𝐚𝐧𝐠𝐮𝐚𝐠𝐞𝐬: SQL, Python 𝐂𝐥𝐨𝐮𝐝 & 𝐈𝐧𝐭𝐞𝐠𝐫𝐚𝐭𝐢𝐨𝐧: GCP, AWS, Azure, API Integration (Screaming Frog, AWR, Google Ads, Citrio Ads, Hubspot, Facebook, Apollo) and analytics tools like GA4, Google Search Console) 📚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧𝐬: 𝟏. Vertica Certified Professional Essentials 9.x 𝟐. IBM DataStage V11.5.x 𝟑. Microsoft Power BI Data Analyst (PL-300) 𝟒. Vertica Certified Professional Essentials 9.x 𝟓. GCP Professional Data Engineer 𝟔. IBM DataStage V11.5.x 💡 𝐖𝐡𝐲 𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐞 𝐰𝐢𝐭𝐡 𝐌𝐞? 𝐓𝐞𝐜𝐡𝐧𝐢𝐜𝐚𝐥 𝐏𝐫𝐨𝐟𝐢𝐜𝐢𝐞𝐧𝐜𝐲: I leverage the latest in data engineering and visualization tools to ensure optimal project performance. 𝐐𝐮𝐚𝐥𝐢𝐭𝐲 𝐖𝐨𝐫𝐤 & 𝐄𝐱𝐜𝐞𝐥𝐥𝐞𝐧𝐜𝐞: Committed to delivering high-quality, dependable solutions that consistently exceed expectations and support sustainable growth. 𝐂𝐫𝐨𝐬𝐬-𝐈𝐧𝐝𝐮𝐬𝐭𝐫𝐲 𝐄𝐱𝐩𝐞𝐫𝐭𝐢𝐬𝐞: My experience spans multiple industries, allowing me to customize solutions to fit diverse business needs. Let’s connect and explore how I can help you achieve your data goals!

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.