I will be your aws devops and microsoft azure cloud data engineer
Software Engineer
About this Gig
If you are working with large datasets and need help processing, analyzing, or building scalable data pipelines, I can help.
What I Do
I dont just build pipelinesI create data systems that work for your business:
- Data ingestion from APIs, databases & cloud sources
- ETL/ELT pipelines (batch & real-time)
- Workflow automation & orchestration (Airflow, CI/CD)
- Data cleaning, validation & quality checks
- Scalable cloud solutions (GCP, Azure, AWS)
- Data warehousing & transformation (DBT, Snowflake, BigQuery)
- AI/ML and analytics integration
Tools and Technologies:
Python, SQL, PySpark, Airflow, Kafka, DBT, Databricks, GCP, Azure, AWS, Snowflake, BigQuery, GitHub Actions, n8n
FAQ
Do you work on existing projects?
Absolutely! I can maintain, optimize, and scale existing cloud infrastructure and pipelines
What's your experience level?
5+ years working with AWS and Azure in enterprise environments, multiple successful cloud migrations and pipeline implementations
How long do projects typically take?
Depends on scope. Simple API integrations: 1-2 weeks. Complex data warehouses: 4-8 weeks. We'll agree on timelines upfront.
Do you provide documentation?
Yes! Every project includes comprehensive documentation, architecture diagrams, and runbooks for maintenance.
Can you help with cost optimization?
Yes, AWS and Azure cost optimization is part of my service offering.
