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I will build data engineering pipelines for big data projects
Senior Data Engineer
Sr. Data Engineer with 13+ years of experience building scalable data platforms using Azure, Databricks, and Snowflake. I help teams design resilient ETL/ELT pipelines, migrate cloud architectures, an...
About this Gig
Build reliable, scalable, and cloud-ready data pipelines with a data engineering professional having 10+ years of experience.
I specialize in developing end-to-end ETL and ELT pipelines that automate data ingestion, transformation, validation, and loading across cloud and on-premises environments.
My services include:
- ETL/ELT pipeline development
- Batch and incremental data processing
- API, database, and file integration
- Data cleansing and transformation
- Data quality checks and validation
- Data lake and data warehouse integration
- Pipeline orchestration, logging, and error handling
- Cloud migration and architecture design
Technologies: Python, SQL, Pyspark, GraphDB (Neo4j), Databricks, Azure Data Factory, Azure Data Lake Storage, AWS Glue, Amazon S3, BigQuery, and relational databases.
I deliver clean, maintainable, well-documented solutions tailored to your project requirements.
Please message me before ordering so I can understand your data sources, requirements, and project complexity.
Tools & Platforms:
Azure Data Factory
FAQ
What information do you need to start?
Please share your data sources, target system, sample data or schema, transformation requirements, preferred technology, and expected outcome
What types of data sources do you support?
I work with databases, REST APIs, CSV, JSON, Excel, cloud storage, and structured or semi-structured data.
Which technologies and cloud platforms can you work with?
I work with Python, SQL, Pyspark, Databricks, Azure Data Factory, Azure Data Lake, AWS Glue, Amazon S3, BigQuery, and relational databases.
Can you build incremental or real-time pipelines?
Yes. I can develop batch, incremental, and real-time pipelines based on your data volume, business requirements, and technology stack.
Should I contact you before placing an order?
Yes. Please contact me before ordering so I can review your project scope, complexity, data volume, required integrations, and delivery timeline.
