Hire the Best ETL Developers
in the Philippines

Data Analytics, Big Data, Data Science Skills on Data Integration, Reports and Analytics: ETL and ELT SQL Server Integration Services SQL Server Reporting Services Python Flask Data Pipelines on Python Build DTSX Package Data Flow Tasks Python Pandas Snowflake AWS

Are you looking for a Fabric Data Engineer to transform your data into actionable insights? With knowledge in Microsoft Fabric, Jira, Microsoft Azure Services, data manipulation using PySpark, and SparkSQL using Notebook, I can help you build robust data pipelines and streamline your data processes. What I Offer: -Microsoft Azure and Microsoft Fabric: Seamless integration and management of cloud-based data solutions. -Advanced data manipulation, cleaning, and transformation. -Database design, querying, and optimization. -Data Pipelines: End-to-end pipeline development for data ingestion, processing, and visualization. -Continuous Integration and Continuous Deployment: Azure DevOps Why Choose Me: -Strong problem-solving skills and attention to detail. -Commitment to delivering high-quality results on time. Let’s collaborate to unlock the full potential of your data. Contact me today to discuss your project requirements!

I am a data professional with over 6 years of experience in SQL, specializing in data analysis, extraction, manipulation, and migration for the ETL process. I have a proven track record in providing data solutions for large organizations, including a project where my team successfully migrated $29 billion worth of data to a customized Salesforce system. My skills extend to developing dashboards and reports using Power BI for data visualization, enabling stakeholders to make data-driven decisions. I am also expanding my expertise in Looker Studio and Python for advanced data manipulation and analysis. I thrive in collaborative environments, having worked with developers, business analysts, product owners, and stakeholders. I bring a problem-solving mindset and keen attention to detail to every project, always aiming to deliver beyond expectations. Let's connect and explore how I can help your business leverage data more effectively.

⭐⭐⭐AWS certified solutions architect⭐⭐⭐ with expertise in data engineering & backend API development. A decade experience working in Python, PySpark, and cloud environments, particularly AWS, and exposure to DevOps tools like Terraform, CI/CD and Docker. 🧠 What I Do 👉 Design and build end-to-end data platforms on AWS/Snowflake 👉 Convert raw data into curated, analytics-ready datasets 👉 Optimize large-scale ETL / ELT pipelines (cost, performance, reliability) 👉 Implement data quality, governance, and cataloging 👉 Support BI, analytics, and ML workloads 🏗️ Data Architecture Patterns - Lakehouse (Bronze / Silver / Gold) - Batch & Event-driven pipelines - Schema-on-read & schema evolution - Idempotent ETL jobs - Cost-optimized serverless analytics - Incremental loads & backfills 🤙 I'm ready for your business outcome, let's connect for tight collaboration.

12 years of experience as a Data Engineer and Database Developer. Worked with different types of data across different industries (Banking, Healthcare, E-commerce, Gaming). Key areas: Cloud Infrastructure (Primary: Google Cloud Platform, Azure) Firebase Data Warehouse solution ETL and Data Integration Tools (SSIS, Matillion, Pentaho, Talend, Airflow) Python Databases (MongoDB, BigQuery, MySQL, MSSQL, PostgreSQL) Data Migration Web scraping (ParseHub) PHP Shopify Development

AI: ✅ I will build a scalable AI Data Chatbot for you ✅ I will build AI workflows for you using Make and N8N Datawarehouse: ✅ I will build a Data Lake/Warehouse on AWS and/or GCP cloud for you! ✅ Build professionally using Python ✅ Automated, scalable and secured data pipeline ✅ AWS and GCP Certified Tools and Services I am expert on: *️⃣ GCP Cloud services: BigQuery, GCS, Cloud Logging, Cloud Function, Cloud Run, Cloud Scheduler, Firestore *️⃣ AWS Cloud services: Elastic MapReduce (EMR), Athena, RedShift + Spectrum, Glue, Pyspark, Data Catalog, S3, IAM, ElasticSearch, Lambda, QuickSight, SageMaker, SQS, SNS, DynamoDB, Cloudformation *️⃣ ETL Tools:AWS Glue, Apache Spark, AWS EMR *️⃣ Languages: SQL, NoSQL, Python 3, Spark *️⃣ Databases: Columnar (Bigquery, Parquet, ORC, Redshift), Relational (Postgres), JSON (MongoDB, DynamoDB, ElasticSearch)