Sai Nagala

About Sai Nagala

I am a results-oriented Senior Backend Engineer with over 10 years of experience…

Experience

1. Full Stack Developer

   Apple

   Feb 2024 — Present

   Built backend services and data processing workflows supporting mobile ad delivery, tracking, and real-time analytics at scale.Developed components in Java 18 and Java 21, utilizing Records, Pattern Matching, Sealed Classes, and Virtual Threads (Project Loom) to optimize concurrency and code maintainability.Designed and optimized Apache Spark (batch + streaming) jobs to process billions of ad events daily; orchestrated ingestion via Kafka and stored raw data in HDFS.Interfaced with HBase and Hive for ad targeting and ML pipeline data retrieval; wrote advanced queries for analytical reporting.Implemented gRPC APIs for high-performance communication between backend services, replacing legacy REST interfaces.Automated data enrichment and transformation workflows using Python, integrating results with ML models for real-time bidding and personalization.Worked with Cassandra and PostgreSQL to store high-volume, low-latency, and transactional data.Deployed services to AWS EKS, managing infrastructure with Terraform and packaging workloads via Docker and Helm.Monitored distributed systems using DataDog, Prometheus, CloudWatch, and integrated structured logging and tracing.Collaborated with data engineering and MLOps teams to support AI/ML pipeline integration and performance tuning.Designed and deployed microservices-based applications on Google Cloud Platform (GCP) using Google Kubernetes Engine (GKE), enabling auto-scaling and high availability for production workloads.Implemented event-driven architectures using Google Pub/Sub for asynchronous messaging between services, improving system decoupling and resilience.Built and optimized CI/CD pipelines using Cloud Build and Artifact Registry, automating build, test, and deployment processes across multiple environments on GCP.Utilized GCP IAM roles, Cloud Storage, and Cloud Functions to manage secure data flow and serverless processing, reducing infrastructure complexity and operational overhead.