- Designed scalable ETL pipelines using Airflow, Spark, and AWS Glue.
- Optimized data warehousing on Snowflake and Redshift for faster querying.
- Deployed real-time streaming with Kafka, Lambda, and Amazon Kinesis.
As a Data Engineer, I specialize in building robust data pipelines, optimizing ETL workflows, and managing scalable data infrastructure across cloud platforms. I leverage tools like Apache Airflow, Spark, and Kafka to ensure seamless data integration, real-time processing, and high availability. My focus lies in transforming raw data into reliable, analytics-ready assets that empower data-driven decision-making across enterprises.
Design and implement end-to-end ETL workflows to streamline data flow across systems, ensuring scalability and consistency.
Clean, standardize, and transform raw data from diverse sources to prepare it for advanced analytics and reporting.
Build and optimize modern data warehouses for fast querying and analytics, enabling informed, data-driven decisions.
Develop streaming data pipelines using Kafka and Spark for low-latency ingestion, processing, and real-time analytics.
Utilize Hadoop, Spark, AWS, and Azure to manage big data infrastructure, ensuring high availability and performance.
Automate workflows with Airflow and CI/CD tools, monitor pipeline health, and ensure reliable production deployment.
I am a passionate and results-driven Data Engineer with a strong foundation in database management, ETL development, and cloud-based data architecture. I thrive on building scalable data solutions and leveraging modern tools to ensure data reliability and accessibility.
With a focus on continuous improvement, I aim to create efficient data pipelines that empower analytics and drive business intelligence. My experience spans diverse domains, enabling me to architect robust systems tailored to real-world data challenges.
I possess expertise in data engineering, ETL development, SQL, big data technologies, cloud platforms, and pipeline automation to build efficient, scalable data solutions.
Akhil is a brilliant data engineer with a deep understanding of ETL, cloud platforms, and big data technologies. His innovative solutions significantly enhanced our pipeline performance and data reliability across systems.
Working with Akhil was a game-changer. His expertise in Snowflake, Airflow, and AWS helped optimize our workflows, reducing latency and boosting system resilience beyond expectations. A true asset to any data team.
Akhil’s technical acumen and problem-solving skills are unmatched. From designing scalable pipelines to deploying CI/CD workflows, he consistently delivers high-quality results that align with business goals and drive data-driven decisions.
Connect with me to build scalable data solutions and drive impactful, AI-powered innovations.