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I will build AWS, azure data engineering and etl pipelines
Cloud Solutions Architect, DevOps, Data, AI Engineer, AWS, Azure, GCP, OpenStack
Top-rated Senior DevOps & Cloud Solutions Architect with 10+ years across AWS, Azure, GCP, OCI & OpenStack. I design and deliver cloud migration, DevOps automation, Kubernetes, MLOps & AI solutions fr...
About this Gig
Looking for an experienced Data Engineer to build scalable and reliable cloud data pipelines? I design and implement modern ETL/ELT solutions that help businesses turn raw data into actionable insights.
I am a Senior Data & Cloud Engineer with 10+ years of experience in Cloud Computing, distributed systems, and data engineering across AWS, Azure, and GCP.
My expertise includes:
- Data pipeline architecture (batch & streaming)
- ETL/ELT development using AWS Glue, Azure Data Factory, and Python
- Big data processing with Apache Spark and PySpark (Databricks)
- Real-time streaming pipelines with Kafka and Flink
- Cloud data storage using S3, Azure Blob Storage, and data warehouses
- API integration and automated data ingestion pipelines
- Data transformation and analytics for BI tools like Power BI, Tableau, and Qlik
- Scalable data lake and warehouse design
I build secure, scalable, and production-ready data pipelines tailored to business needs, ensuring performance, reliability, and cost efficiency.
Lets discuss your requirements and build a powerful data solution for your business.
My Portfolio
FAQ
Will you explain the implementation architecture as well?
Yes, I will be happy to do a quick session to go over the implementation architecture and its details.
Do you provide business and technical documentation along the implementation?
Yes, I provide basic documentation and write-ups for the projects I implement but for more concrete and detailed documentation, please add it to the requirements
