I will design and build scalable data pipelines and data engineering solutions
Azure Data Engineer, ETL Pipelines, Databricks, SQL Expert
About this Gig
Are you struggling with messy data, slow queries, or disconnected systems?
I am a Senior Data Engineer specializing in building scalable, efficient, and production-ready data pipelines that help businesses turn raw data into meaningful insights.
I design and develop end-to-end data engineering solutions that are optimized for performance, scalability, and cost efficiency.
What I can help you with:
- ETL/ELT pipeline development
- Data warehouse design and setup
- Real-time data streaming systems
- Database optimization (SQL & NoSQL)
- Cloud data engineering (AWS, Azure, GCP)
- Data integration from APIs, files, and databases
- Workflow automation using Apache Airflow
- Big data processing with Spark
Tools & Technologies:
- Python | SQL | Apache Spark | Kafka | Airflow
- AWS | Azure | GCP | Snowflake | Databricks | dbt
Why choose me:
- Senior-level engineering experience
- Clean, scalable, production-ready solutions
- Strong focus on performance & cost optimization
- Clear communication and fast delivery
Lets build a powerful data system that grows with your business.
My Portfolio
FAQ
Q1: What do you need to start the project?
A1: I need details about your data sources, expected output, and preferred cloud platform (if any).
Q2: Can you handle large-scale data systems?
A2: Yes, I specialize in scalable systems using Spark, Airflow, and cloud platforms.
Q3: Do you provide cloud deployment?
A3: Yes, I can deploy solutions on AWS, Azure, or GCP.
Q4: Can you connect multiple data sources?
A4: Yes, I can integrate APIs, databases, and file-based systems.
Q5: Do you offer support after delivery?
A5: Yes, I provide post-delivery support depending on the package.
