Looking for a job

Reddy Naidi

@reddynaidi

Message

I build streaming, lakehouse, and ML-ready data platforms for automotive, media, and financial services.

United States

Message

What I'm looking for

I'm looking to build scalable data, streaming, lakehouse, and AI/ML platforms where I can improve reliability, reduce latency, and enable predictive analytics and Generative AI applications.

At Tesla, I build telemetry, sensor, and manufacturing data pipelines supporting more than 20 production datasets across Autopilot, Energy, and manufacturing analytics.

I've reduced telemetry processing delays by nearly 18%, prepared reusable feature datasets for 10+ predictive maintenance models, and integrated LLM-powered validation to reduce manual anomaly review effort.

Previously at Netflix, I processed more than 2 PB of streaming viewership and user-interaction data, reducing ingestion latency by 35% while enabling real-time analytics and personalization. I also built RAG pipelines, lakehouse architecture, MLOps automation, and DataOps capabilities that improved reliability and reduced data-quality incidents.

At Intuit, I built ETL and fraud-detection streaming pipelines, modernized warehouse workloads in Snowflake, and supported production ML models for credit risk and customer analytics. I work across Python, SQL, Spark, Kafka, Databricks, AWS, Snowflake, and cloud automation.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer (AI/ML)

Current

Tesla

Sep 2024 - Present (2 years)

Engineered data pipelines for vehicle telemetry, sensor, and manufacturing datasets using Kafka, Databricks, Delta Lake, Python, and SQL, supporting 20+ production datasets across Autopilot, Energy, and manufacturing analytics. Standardized ETL and streaming workflows using GCP, dbt, Airflow, Apache Spark, and Apache Flink, reducing telemetry processing delays by nearly 18%.