Ramakrishna Telugu

Lead Data Engineer

Cognizant

Mississauga, Canada

01.2022 - Current

Proficient in Spark Scala coding for building and optimizing distributed data processing applications.
Extensive experience in migration of legacy applications to Spark-based architectures, ensuring improved scalability and performance.
Hands-on experience with ETL tools like Matillion and Alteryx, implementing efficient data integration and transformation processes.
Strong knowledge of Snowflake, including data warehousing, schema design, performance tuning, and optimizing SQL queries.
Expertise in data pipeline design and development, including building end-to-end data workflows for real-time and batch processing.
Familiar with containerization (Docker) for deploying and managing scalable data engineering solutions.
Proficient with Databricks for collaborative data engineering, leveraging Apache Spark for big data processing, and building scalable data solutions.
Experience with Apache Airflow for scheduling, monitoring, and managing data workflows, ensuring reliable and scalable data pipeline orchestration.
In-depth experience with AWS services like S3, Redshift, EC2, ECS, ECR, ALB, ACM, and Glue to design, deploy, and manage scalable data infrastructure.
Proven experience working in an Agile environment, contributing to continuous delivery models and ensuring quick, iterative deployment of solutions.
Expertise in designing and delivering end-to-end data solutions for critical business needs, ensuring alignment with both business and technical requirements.
In-depth knowledge of the banking and life science domains, with hands-on experience delivering solutions tailored to these industries.
Focused on designing and delivering optimal and critical business solutions for Big Data and Java technologies, ensuring scalable and efficient systems.
Strong debugging skills for identifying and resolving issues in Big Data and Java applications, optimizing performance and reliability.