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Mahitha Chowdary Malempati

@mahithachowdarymalem

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Data Engineer specializing in cloud-native ETL/ELT, streaming pipelines, and analytics platforms.

United States

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What I'm looking for

I seek roles building scalable cloud data platforms and real-time pipelines with strong engineering practices, security, and collaboration to enable analytics and ML.

I am a Data Engineer with 4+ years designing, building, and supporting end-to-end ETL/ELT pipelines across Microsoft Azure and AWS.

I develop scalable batch and near-real-time data solutions using Azure Data Factory, Databricks, Azure Synapse, AWS Glue, Redshift, Snowflake, and streaming technologies such as Kafka, Event Hubs, and Kinesis.

I implement data transformations and modeling using Python, PySpark, SQL, Spark SQL, DBT, and Delta Lake, and I optimize warehouses and Spark jobs for performance and cost efficiency.

I prioritize data security, governance, and observability—applying Azure AD/RBAC, Key Vault, AWS IAM/KMS, Airflow orchestration, CI/CD pipelines, and delivering curated datasets and Power BI/Tableau analytics to drive business insights.

Experience

Work history, roles, and key accomplishments

Current

Data Engineer

Current

Cigna Healthcare

Jun 2024 - Present (1 year 7 months)

Designed and maintained cloud ETL pipelines using AWS (S3, Glue, Lambda, Redshift) and GCP BigQuery, improving data availability and reducing pipeline runtimes via PySpark tuning and Delta Lake adoption.

AWS S3 AWS Glue Redshift Pyspark Delta Lake Amazon Kinesis Snowflake DBT Terraform

Data Engineer

Accenture

May 2021 - Aug 2023 (2 years 3 months)

Migrated on-prem ETL workflows to Azure using ADF, Databricks, and ADLS Gen2, converting MapReduce to PySpark and reducing processing time by 30–40% while implementing monitoring and data quality checks.