Raviteja Karavadi

Data Engineer with 2+ years of experience specializing in building scalable data pipelines and cloud-native solutions using Snowflake, AWS, DBT, Databricks and Python. Proven track record in automating ETL workflows, optimizing performance, and enabling real-time analytics to drive data-driven decision-making. Experienced in implementing CDC pipelines using Snowpipe, Streams & Tasks to ensure near real-time data freshness.

Proficient in handling semi-structured data (JSON/Parquet/Avro) and performance tuning for maximum pipeline efficiency and cost optimization.

Data Engineer at Cognizant (2024-02 – Present)

• Developed CDC pipelines with Streams & Tasks ensuring near real-time data freshness.
• Hands-on expertise in Snowflake, DBT, PySpark, and AWS with strong focus on real-time ingestion using Snowpipe, Streams & Tasks
• Skilled in handling semi-structured data processing (JSON/Parquet/Avro) and optimizing data pipelines for performance, cost and reliability.
• Optimized data ingestion pipelines using Snowflake External Stages, improving analytics availability by 30%.
• Utilized Splunk & Dynatrace dashboards for proactive issue detection and performance tuning.
• Orchestrated ETL workflows using Airflow DAGs, enhancing reliability and scalability.
• Proficient in Advanced SQL, Python, automation and performance tuning to improve pipeline efficiency.

Bachelor of Engineering in Computer Science & Engineering – Lakireddy Bali Reddy College of Engineering (2019-08 – 2023-05)