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Mounika Reddy

@mounikareddy2

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Data engineer specializing in cloud-native real-time pipelines, cost optimization, and analytics.

United States

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What I'm looking for

I seek roles building scalable cloud-native data platforms and real-time streaming systems, with focus on data quality, cost optimization, automation, and stakeholder-facing analytics.

I am a Data Engineer with 5+ years building scalable, cloud-native data platforms and real-time analytics solutions across leading tech and finance firms.

I design and operate high-throughput streaming pipelines using Apache Kafka, Spark Structured Streaming, and Flink, and optimize ELT workflows on Snowflake, Azure Synapse, Redshift, and PostgreSQL to improve performance and reduce costs.

I automate pipelines and infrastructure with Python, Airflow, dbt, Azure DevOps, and Terraform, and build stakeholder-facing dashboards with Power BI, Tableau, and Streamlit to accelerate decision-making.

I prioritize data quality, cost optimization, and actionable insights, and have delivered measurable results such as 40% cost reduction on Azure, 35% query latency improvement, and production systems processing over 1M events/second.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

OpenAI

Jan 2025 - Present (1 year 5 months)

Architected and maintained real-time streaming pipelines processing over 1M events/sec with sub-second latency and built a cloud-native Azure data platform that reduced processing costs by 40%. Automated ELT workflows and data quality checks, cutting manual interventions by 70%.

Apache Kafka Spark Structured Streaming Azure Event Hubs Python Airflow DBT Snowflake

Data Engineer

Microsoft

Feb 2021 - Dec 2023 (2 years 10 months)

Engineered low-latency streaming pipelines with Spark Structured Streaming and Kafka achieving 99.9% SLA compliance, prototyped recommendation systems that increased engagement 20%, and automated CI/CD and IaC to cut provisioning time by 75%.

Spark Structured Streaming Apache Kafka Azure Event Hubs Azure DevOps Terraform Python Databricks

Data Engineer

JPMorgan Chase

May 2019 - Jan 2021 (1 year 8 months)

Architected a Delta Lake-based data lake on EMR to enable ACID batch and streaming processing, implemented AWS-native solutions reducing infrastructure costs 45%, and optimized Hadoop workloads to cut query latency by 40%.