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Senior Business Intelligence Developer | MS SQL Server | ETL | Data Modeling | Reporting Over 10 years of experience helping businesses turn raw data into clear, actionable insights. I specialize in MS SQL Server, Azure Data Factory, and building end-to-end ETL solutions, dashboards, and data models tailored to your business needs.

Hi, I am a Data Engineer with expertise in APIs, Airbyte, Kakfa, DBT and NIFI. I have built end-to-end pipelines from ingestion to visualization. I am proficient with Python, Unix and SQL. I already completed projects using AWS, GCP and Azure. Some of the Projects that I completed and the tools and technologies that I used: 1. Extract reporting metrics from 20 to 30 ad agencies using airbyte custom conector. Load the data to GCP staging tables and perform transformation using DBT. Finally, use Metabase for visualization. 2. Created a webhook using FASTAPI that will receive data from a calendar subscription application. The data was then processed by NIFI. It will then be processed by different processors such as Kakfa before sending to the final destination which is a SQL database for further processing by another team. 3. Created 20-30 different Airbyte connectors that pulls data from US Department of Transformation website to extract Vehicle violation and inspections information. Used GCP for storage and for data warehouse, DBT for transformation and Looker for visualization 4. Created a Python FASTAPI application that provides data from GBQ to the caller of the API. The data is about company information, insurance history, inspection history as well as violation data. The data will be used to populate PDFs that will be issued to trucking company and other transportation company. 5. Created GCP cloud function that perform transformation on the data thats already present in GBQ for normalization, formatting and data cleansing purposes. These are just some of the projects that I completed the past few months. I am a passionate data engineer and i love trying new tools and technologies.

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)

I design and build automated data workflows, ETL pipelines, and system integrations that remove manual work and make your operations run reliably at scale. If your business depends on collecting data, transforming it, syncing it across tools, or triggering backend workflows. I help you automate the entire process end-to-end so it runs quietly in the background with zero maintenance headaches. What I specialize in • ETL & Data pipelines Designing reliable ingestion → parsing → transformation → loading workflows AWS (Lambda, Glue, S3, Athena), GCP (Cloud Run, Functions), Serverless containers, SQL, MongoDB. • API & System Integrations Connecting systems that normally don’t communicate: Meta, Google APIs, YouTube, multi-step integrations, and webhook-based automation. • Backend Automation State machines, scheduled jobs, notification systems, monitoring, error alerts, retries, and business logic that runs consistently. • Dashboard/Reporting Integrations Data pipelines that feed Google Sheets, Excel, dashboards, BI tools, or your internal systems. • Enterprise-Grade Web Scraping Systems High-accuracy scraping with: - Login-required flows - Proxy rotation - CAPTCHA handling - Anti-bot tactics - High-volume distributed scraping - Cloud execution - Clean, structured output ready for BI tools Tech Stack Data Engineering Python, SQL, Snowflake, MongoDB, ETL pipelines, AWS Glue/Athena/Lambda/S3, GCP Cloud Run & Cloud Functions Automations API integrations, scraping systems, PDF parsing, spreadsheet automation, login-required scrapers, proxy rotation, CAPTCHA bypass, background workflows Cloud & DevOps AWS, GCP, IAM, CI/CD (GitHub Actions), Docker, containerized jobs, serverless architectures Full Stack (as needed) FastAPI, Flask, React, Tailwind, PostgreSQL, MySQL (Used for admin dashboards, internal tools, or portal interfaces) How I Work • I build scalable, fault-tolerant pipelines • I design systems that don’t break every week • Clean architecture, clear documentation, and structured workflows • Strong communication and constant progress visibility • I join your team as a partner, aligned with your goals What You Get • A reliable, automated data system • Clean, maintainable architecture • Monitoring + alerts • Zero manual steps • A workflow that scales with your business If your operations depend on getting the right data consistently, I'll build the system that makes it automatic. Let's talk about the data workflow or integration you want to automate.

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!

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