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I will build azure data factory, databricks and etl data pipelines
DevOps Engineer Automating Cloud with Terraform Ansible and Kubernetes
DevOps & Cloud Engineer | RHCSA Certified | Full-Stack Developer
With 4+ years of experience, I build secure, scalable cloud solutions (AWS/GCP/Azure) and automate DevOps workflows.
Expertise:
✔ Clo...
About this Gig
Looking for a reliable Azure Data Engineer to build scalable and high-performance data pipelines?
Proven Data Engineering Expertise | 10M+ Records Processed | 30% Pipeline Performance Improvement
I help businesses design, develop, and optimize data engineering solutions using Azure Data Factory, Azure Databricks, PySpark, Delta Lake, Azure SQL, ADLS Gen2, and Snowflake.
Services Include:
- ETL / ELT Pipeline Development
- Azure Data Factory Pipelines
- Azure Databricks & PySpark Solutions
- Data Ingestion from APIs, Files, and Databases
- Delta Lake Implementation
- CDC & Incremental Data Loading
- Data Transformation & Cleansing
- Data Warehouse Solutions
- Medallion Architecture (Bronze, Silver, Gold)
- Data Quality Validation
- Query & Pipeline Optimization
- Documentation & Monitoring
Why Choose Me?
- Scalable and maintainable solutions
- Production-ready implementations
- Focus on performance and reliability
- Industry best practices
Whether you need ETL workflows, data migration, Azure Data Factory pipelines, Databricks solutions, or cloud data engineering services, I can deliver a solution tailored to your business needs.
Contact me before placing an order to discuss your project requirements.
FAQ
What information do you need to start the project?
Please provide your project requirements, data sources, destination platform, Azure environment details, and any existing architecture or pipeline specifications. I will review the requirements and recommend the best solution.
Which technologies and platforms do you work with?
I work with Azure Data Factory, Azure Databricks, PySpark, Delta Lake, Azure SQL, ADLS Gen2, Snowflake, ETL/ELT pipelines, data warehousing solutions, and cloud-based data engineering architectures.
Can you optimize existing data pipelines and ETL processes?
Yes. I can analyze and optimize existing pipelines by improving query performance, reducing processing time, implementing incremental loads, enhancing data quality checks, and applying data engineering best practices.
