Data & Cloud Architecture

Certified in Data Engineering by Databricks. Masters in Data Engineering and other formal training.

AWS Cloud Solutions Architect and holding diverse other certifications related to AWS, Azure and GCP specializations.

Certified in Big Data with Databricks, Snowflake, AWS and Azure. Trained distributed computing (Map Reduce, Spark and Hadoop).

Engineering robust data pipelines that ensure the seamless movement, transformation, and storage of data from various sources to analytical platforms.

Designing and implementing cloud solutions, enabling scalable, secure, and cost-effective data storage and computing across diverse platforms.

Harnessing the power of big data technologies, like Hadoop and Spark, to process, analyze, and derive insights from large datasets efficiently and accurately.

Building and managing data lakes and warehouses, ensuring organized, secure, and accessible storage of structured and unstructured data for analytical purposes.

Implementing real-time data processing and analytics solutions, enabling businesses to gain instant insights and respond to changing conditions dynamically and effectively.

Leveraging serverless computing to build and run applications without server management, ensuring efficient resource use, and simplifying development, deployment and scaling.