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I am Tejaswi Surapaneni, a Principal Data Engineer focused on designing and operating large-scale streaming and batch data platforms across cloud and on-prem environments. I specialize in low-latency pipelines, data quality, governance, and cost optimization to enable real-time decisioning and AI-powered applications. I lead cross-functional teams, mentor engineers, and drive privacy-conscious data architectures. I enjoy exploring AI-assisted development and building scalable data platforms using technologies like Apache Kafka, Databricks, Spark, and AWS, with a strong emphasis on reliability, observability, and governance.…I am Tejaswi Surapaneni, a Principal Data Engineer focused on designing and operating large-scale streaming and batch data platforms across cloud and on-prem environments. I specialize in low-latency pipelines, data quality, governance, and cost optimization to enable real-time decisioning and AI-powered applications. I lead cross-functional teams, mentor engineers, and drive privacy-conscious data architectures. I enjoy exploring AI-assisted development and building scalable data platforms using technologies like Apache Kafka, Databricks, Spark, and AWS, with a strong emphasis on reliability, observability, and governance.

Tejaswi Surapaneni

AI Engineer, Full Stack Developer, Back-End Developer, +2

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I am Tejaswi Surapaneni, a Principal Data Engineer focused on designing and operating large-scale streaming and batch data platforms across cloud and on-prem environments. I specialize in low-latency pipelines, data quality, governance, and cost optimization to enable real-time decisioning and AI-powered applications. I lead cross-functional teams, mentor engineers, and drive privacy-conscious data architectures. I enjoy exploring AI-assisted development and building scalable data platforms using technologies like Apache Kafka, Databricks, Spark, and AWS, with a strong emphasis on reliability, observability, and governance.…I am Tejaswi Surapaneni, a Principal Data Engineer focused on designing and operating large-scale streaming and batch data platforms across cloud and on-prem environments. I specialize in low-latency pipelines, data quality, governance, and cost optimization to enable real-time decisioning and AI-powered applications. I lead cross-functional teams, mentor engineers, and drive privacy-conscious data architectures. I enjoy exploring AI-assisted development and building scalable data platforms using technologies like Apache Kafka, Databricks, Spark, and AWS, with a strong emphasis on reliability, observability, and governance.

Available to hire

I am Tejaswi Surapaneni, a Principal Data Engineer focused on designing and operating large-scale streaming and batch data platforms across cloud and on-prem environments. I specialize in low-latency pipelines, data quality, governance, and cost optimization to enable real-time decisioning and AI-powered applications.

I lead cross-functional teams, mentor engineers, and drive privacy-conscious data architectures. I enjoy exploring AI-assisted development and building scalable data platforms using technologies like Apache Kafka, Databricks, Spark, and AWS, with a strong emphasis on reliability, observability, and governance.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Intermediate

Work Experience

Principal Data Engineer (Data / AI) at A Place For Mom

March 1, 2025 - Present

Re-engineered the consumer website into an AI-agentic platform using OpenAI GPT-4-class models for senior-care decision support. Designed data pipelines to curate, enrich, and deliver high-quality context data to LLM prompts. Architected PostHog event models and integrated downstream activation for near real-time personalization. Built end-to-end data integrations across PostHog, Fivetran, PostgreSQL, Databricks, and Customer.io. Championed AI-assisted development ("vibe coding") using Claude and Codex to accelerate design and implementation. Optimized Databricks workloads and implemented Unity Catalog, reducing compute cost by ~30%. Delivered centralized CCPA/GDPR automation eliminating manual privacy work.

Senior Data Engineer (Apple Maps) at Apple Inc

November 1, 2016 - December 1, 2024

Architected Kafka-based real-time streaming platforms ingesting millions of road signs data per day. Designed partitioning strategies and consumer group architectures for low-latency map feature updates. Built large-scale batch and streaming pipelines using Scala, Spark, and PySpark for data bootstrapping and enrichment. Modeled high-throughput Cassandra tables to support sub-second reads at petabyte scale. Developed backend services exposing data APIs. Integrated real-time ML inference pipelines transforming streaming signals into production map features. Led microservices decomposition initiatives and mentored engineers. Implemented observability dashboards with Splunk and New Relic.

Data Engineer (Client: Apple) at G3 Infotek

April 1, 2014 - November 1, 2016

Designed data tools supporting editorial work and map data operations. Built and optimized PostgreSQL data models and SQL pipelines for analytics and reporting.

Software Engineer (Client: Eli Lilly) at Tata Consultancy Services

February 1, 2010 - February 1, 2012

Developed Java-based REST services and backend components for enterprise applications. Designed relational data models and optimized SQL queries supporting regulated pharma systems.