I am a skilled Data Engineer with 3 years of experience specializing in building and optimizing scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions. I am proficient in various big data technologies and cloud platforms such as AWS, Azure, and GCP, and excel at programming with Python, SQL, and Java to deliver high-performance data architectures. Throughout my career, I have designed and implemented real-time and batch processing systems, integrated machine learning models for predictive analytics, and developed interactive BI dashboards to provide actionable insights. I am passionate about using technology to improve data accessibility and business decision-making, while ensuring compliance and security in data engineering projects.

Lalitha Alapati

I am a skilled Data Engineer with 3 years of experience specializing in building and optimizing scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions. I am proficient in various big data technologies and cloud platforms such as AWS, Azure, and GCP, and excel at programming with Python, SQL, and Java to deliver high-performance data architectures. Throughout my career, I have designed and implemented real-time and batch processing systems, integrated machine learning models for predictive analytics, and developed interactive BI dashboards to provide actionable insights. I am passionate about using technology to improve data accessibility and business decision-making, while ensuring compliance and security in data engineering projects.

Available to hire

I am a skilled Data Engineer with 3 years of experience specializing in building and optimizing scalable data pipelines, ETL/ELT workflows, and cloud-based data solutions. I am proficient in various big data technologies and cloud platforms such as AWS, Azure, and GCP, and excel at programming with Python, SQL, and Java to deliver high-performance data architectures.

Throughout my career, I have designed and implemented real-time and batch processing systems, integrated machine learning models for predictive analytics, and developed interactive BI dashboards to provide actionable insights. I am passionate about using technology to improve data accessibility and business decision-making, while ensuring compliance and security in data engineering projects.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
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Work Experience

Data Engineer at Wells Fargo
August 1, 2024 - Present
At Wells Fargo, I designed and optimized ETL/ELT pipelines using PySpark, Apache Airflow, Azure Data Factory, and Azure Databricks, significantly improving data throughput for financial datasets. I architected cloud-based platforms leveraging ADLS, Snowflake, and Azure Synapse Analytics, enhancing query performance by 35%. I developed real-time streaming solutions with Apache Kafka and Flink to process high-frequency financial transactions and integrated machine learning models for predictive analytics, boosting portfolio returns. Additionally, I created interactive Power BI dashboards and incorporated dbt for efficient data modeling to aid senior financial stakeholders in decision-making.
ETL Developer at Carelon Global Solutions
December 1, 2023 - August 5, 2025
In my role as an ETL Developer, I optimized SSIS and SSMS workflows to improve healthcare data pipelines and integrated real-time data via RabbitMQ to support low-latency analytics. I managed structured and unstructured data across clinical systems, automating ETL processes with Python and PySpark to enhance operational efficiency by 50%. I improved SQL query performance by 30% and designed scalable PySpark workflows for large healthcare datasets. Cloud integration involved AWS S3, Lambda, and CloudWatch, increasing scalability by 25%. I also implemented automated data quality monitoring and compliance mechanisms to ensure data integrity.
Data Engineer at Wells Fargo
August 1, 2024 - Present
Designed ETL/ELT pipelines using PySpark, Apache Airflow, Azure Data Factory, and Azure Databricks to automate data orchestration for financial datasets, improving throughput and reducing processing times. Architected a cloud-based data platform with Azure Data Lake Storage, Snowflake, and Azure Synapse Analytics, boosting query performance by 35% and enabling real-time availability for financial risk modeling. Developed real-time data streaming solutions with Apache Kafka and Apache Flink for low-latency processing of financial transactions, enhancing trading and risk mitigation. Integrated machine learning models for predictive analytics pipelines, improving portfolio returns by 15%. Built interactive Power BI dashboards with dbt data modeling, providing actionable insights to senior finance stakeholders.
ETL Developer at Carelon Global Solutions
December 1, 2023 - August 8, 2025
Optimized ETL workflows using SSIS and SSMS to extract and transform healthcare data from multiple systems, improving pipeline performance. Integrated real-time healthcare data via RabbitMQ supporting real-time analytics and operational decision-making. Managed both structured SQL and unstructured NoSQL data improving data accessibility and storage efficiency. Automated ETL processes using Python and PySpark, halving manual effort while improving efficiency. Optimized SQL queries, enhancing data retrieval speed by 30%. Developed scalable PySpark ETL workflows to handle complex healthcare datasets. Integrated AWS services such as S3, Lambda, and CloudWatch to enhance cloud ETL operations and scalability by 25%. Ensured data quality and compliance through automated profiling and error handling.

Education

Master of Science at University of Memphis
January 1, 2024 - December 1, 2025
Bachelor of Technology at GMR Institute of Technology
August 1, 2018 - May 1, 2022
Master of Science at University of Memphis
January 1, 2024 - December 1, 2025
Bachelor of Technology at GMR Institute of Technology
August 1, 2018 - May 1, 2022

Qualifications

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Industry Experience

Financial Services, Healthcare, Software & Internet