RAHUL REDDY

• Reduced processing latency by 40%, optimizing Kafka, Flink & AWS Kinesis for real-time data ingestion.
• Enabled real-time anomaly detection, improving event-driven alerting by 7 bps with AWS Lambda & Kinesis.
• Scaled system capacity, handling 4x data growth with Kafka partitioning & Flink checkpointing.
• Developed interactive monitoring dashboards, boosting 8% engagement with Python Dash.
• Minimized system downtime, automating infrastructure provisioning to improve deployment speed by 2x.
• Accelerated CI/CD deployment by 70%, reducing manual overhead with Terraform & Jenkins.

• Cut ETL execution time in half, optimizing Databricks, PySpark & Spark SQL workflows.
• Automated pipeline orchestration, lowering manual intervention by 30% with Apache Airflow.
• Enhanced data observability, improving anomaly detection accuracy by 7 bps via ELK Stack & CloudWatch.
• Boosted query performance by 50%, accelerating data retrieval in Snowflake for real-time analytics.
• Saved $10K annually in cloud costs, optimizing AWS infrastructure with Terraform.
• Improved data accuracy, leading to 17% expansion in data-driven user insights.
• Strengthened business intelligence workflows, driving a 15% increase in operational efficiency.

• Optimized ETL pipelines, reducing data processing time by 40% for Prime Sales Core.
• Enhanced campaign performance, achieving a 7% lift in conversion rates for Prime product sales.
• Developed an automated KPI onboarding system, reducing setup time by 5x with a Scala-based framework.
• Scaled data infrastructure, processing 3x more data efficiently with PySpark & Hive.
• Improved query execution speed by 15%, optimizing SQL & Snowflake for large-scale analytics.
• Implemented real-time streaming, lowering event processing latency by 7 bps with Spark & HBase.
• Reduced AWS expenses, cutting storage and compute costs by $10K through S3 & Glue optimizations.
• Increased ETL reliability, reducing system failures by 0.07% with Apache Airflow automation.

Data Visualization | Storytelling with Data

● Presented insights to leadership through data-driven storytelling, translating complex dashboard analysis to action items.

● Provided data support to Marketing, Biz Ops & Finance team building dashboards for compliance, audits, and accounting.

Data Engineering | Ensuring High Data Quality

● Developed marketing foundational data model and designed UTM schema, enabling scalable and quick analysis.

● Resolved discrepancies between backend attribution data and amplitude, decreasing CAC by 14% and data reliability.

KPI Development & Measurement | Driving Business Impact

● Built a comprehensive dashboard for weekly business reviews, featuring key alerting metrics on product adoption, engagement, churn, retention, on-time payments, cure rates, and user resurrection, providing a holistic business overview.