Mounika Reddy
@mounikareddy2
Data engineer specializing in cloud-native real-time pipelines, cost optimization, and analytics.
What I'm looking for
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
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%.
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%.
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%.
Education
Degrees, certifications, and relevant coursework
University at Buffalo
Master of Science, Data Science
Completed a Master’s in Data Science emphasizing advanced machine learning, big data processing, and statistical modeling.
Sri Venkateswara College of Engineering
Bachelor of Engineering, Computer Engineering
Completed a Bachelor’s degree in Computer Engineering covering software development, computer systems, and data structures.
Tech stack
Software and tools used professionally
Amazon Redshift
Azure Synapse
Apache Spark
AWS Glue
Apache Flink
Microsoft Azure
GitHub
Kubernetes
Jenkins
GitHub Actions
NumPy
Pandas
PySpark
dbt
MySQL
PostgreSQL
MongoDB
Cassandra
Hadoop
Gmail
Yarn
Databricks
Terraform
Azure DevOps
Java
TensorFlow
MLflow
Kubeflow
Streamlit
Kafka
Serverless
Azure Functions
Airflow
Time Analytics
s3-lambda
Amazon EMR
SQL
LangChain
Polars
Delta Lake
Availability
Location
Authorized to work in
Job categories
Skills
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