Rajeev Palaparthi
Senior Data Engineer | 5+ Yrs Experience in Streaming & Batch Pipelines | Cloud-Native Solutions (AWS, GCP, Azure) | MLOps, Airflow, MLflow | Kafka | Spark | Python
- Role
- Data Engineer at Capital One
- Location
- Jersey City, NJ, US
- LinkedIn followers
- 500 followers
About Rajeev Palaparthi
Results-driven Data Engineer with 5+ years of experience designing and implementing…
Experience
Data Engineer
Jul 2024 — Present · VA, US
Developed and maintained real-time data pipelines using Apache Kafka, Spark Streaming, AWS Kinesis, processing millions of daily transactions with sub-second latency.• Enhanced AWS data architecture with S3, Lambda, AWS Glue, and Redshift, improving scalability and boosting data processing efficiency by 30%.• Built automated CI/CD pipelines with Docker and Kubernetes, achieving zero-downtime deployments and reducing rollback time from 1 hour to under 5 minutes.• Orchestrated machine learning pipelines using Apache Airflow, MLflow, and SageMaker, automating feature engineering, model retraining, and deployment with 99.5% reliability.• Tuned DynamoDB to reduce query latency by 40% and migrated analytical workloads to Snowflake, cutting cross-region query costs by 35% using columnar storage.• Collaborated with ML engineers to productionize models using Python (PySpark, Pandas) and advanced SQL, accelerating feature engineering pipelines by 50% and improving fraud detection model accuracy by 12%.
Find verified contacts for anyone on LinkedIn
Unifers gives sales teams verified emails and direct dials, enriched profiles, and outreach that lands in the inbox.
Free plan included · No credit card required
This profile is compiled from publicly available professional sources. Unifers is not affiliated with or endorsed by LinkedIn. Request removal of this profile.