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I am a Data Engineer with 5 years of experience in designing, building, and optimizing data pipelines and ETL workflows in both on-premise and cloud environments including Azure and GCP. I have a proven ability to manage structured and unstructured data using SQL, Python, Spark, and modern data warehousing platforms like Snowflake and Azure Synapse. I am skilled in developing scalable data models, implementing data quality checks, and enabling real-time analytics for cross-functional teams. I have collaborated extensively with stakeholders to ensure data availability, accuracy, and performance across enterprise-level financial and business intelligence platforms. Additionally, I have a strong understanding of data governance, compliance regulations such as GDPR, and automation best practices, which I integrate into my data engineering solutions to drive efficiency and compliance.…I am a Data Engineer with 5 years of experience in designing, building, and optimizing data pipelines and ETL workflows in both on-premise and cloud environments including Azure and GCP. I have a proven ability to manage structured and unstructured data using SQL, Python, Spark, and modern data warehousing platforms like Snowflake and Azure Synapse. I am skilled in developing scalable data models, implementing data quality checks, and enabling real-time analytics for cross-functional teams. I have collaborated extensively with stakeholders to ensure data availability, accuracy, and performance across enterprise-level financial and business intelligence platforms. Additionally, I have a strong understanding of data governance, compliance regulations such as GDPR, and automation best practices, which I integrate into my data engineering solutions to drive efficiency and compliance.

CHAITHANYA SAKINALA

Data Scientist, Developer, Programmer, +2

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I am a Data Engineer with 5 years of experience in designing, building, and optimizing data pipelines and ETL workflows in both on-premise and cloud environments including Azure and GCP. I have a proven ability to manage structured and unstructured data using SQL, Python, Spark, and modern data warehousing platforms like Snowflake and Azure Synapse. I am skilled in developing scalable data models, implementing data quality checks, and enabling real-time analytics for cross-functional teams. I have collaborated extensively with stakeholders to ensure data availability, accuracy, and performance across enterprise-level financial and business intelligence platforms. Additionally, I have a strong understanding of data governance, compliance regulations such as GDPR, and automation best practices, which I integrate into my data engineering solutions to drive efficiency and compliance.…I am a Data Engineer with 5 years of experience in designing, building, and optimizing data pipelines and ETL workflows in both on-premise and cloud environments including Azure and GCP. I have a proven ability to manage structured and unstructured data using SQL, Python, Spark, and modern data warehousing platforms like Snowflake and Azure Synapse. I am skilled in developing scalable data models, implementing data quality checks, and enabling real-time analytics for cross-functional teams. I have collaborated extensively with stakeholders to ensure data availability, accuracy, and performance across enterprise-level financial and business intelligence platforms. Additionally, I have a strong understanding of data governance, compliance regulations such as GDPR, and automation best practices, which I integrate into my data engineering solutions to drive efficiency and compliance.

Available to hire

I am a Data Engineer with 5 years of experience in designing, building, and optimizing data pipelines and ETL workflows in both on-premise and cloud environments including Azure and GCP. I have a proven ability to manage structured and unstructured data using SQL, Python, Spark, and modern data warehousing platforms like Snowflake and Azure Synapse. I am skilled in developing scalable data models, implementing data quality checks, and enabling real-time analytics for cross-functional teams.

I have collaborated extensively with stakeholders to ensure data availability, accuracy, and performance across enterprise-level financial and business intelligence platforms. Additionally, I have a strong understanding of data governance, compliance regulations such as GDPR, and automation best practices, which I integrate into my data engineering solutions to drive efficiency and compliance.

Skills

Experience Level

Expert

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Intermediate

Work Experience

Data Engineer Intern at Freddie Mac, USA

February 1, 2025 - Present

Partnered with finance teams to extract and integrate data across legacy financial systems using SQL Server, Excel, and flat files. Re-engineered data architecture for regulatory and financial reporting applying data integrity constraints and building reference tables. Developed and maintained SSIS packages within Azure Data Factory for robust ETL workflows ensuring timely and accurate loading of transactional and market data. Streamlined ETL scripting in Python using PyCharm to accelerate development and improve error detection by 20%. Collaborated with QA teams during UAT phases to enhance data quality through advanced error-handling techniques. Tuned SSIS packages and optimized SQL queries, improving load performance and reducing latency. Authored complex T-SQL stored procedures and maintained detailed technical documentation to support audit readiness and compliance.

Data Engineer at KellTon, INDIA

June 1, 2023 - August 26, 2025

Built and deployed large-scale data processing systems using Apache Spark and Apache Airflow, reducing processing time by 40%. Experienced in machine learning algorithms including regression, ensemble methods, neural networks, linear regression, and clustering. Managed end-to-end machine learning workflows including data collection from AWS Snowflake, preprocessing, feature extraction, modeling, evaluation, and deployment. Executed Continuous Integration and Continuous Deployment with AWS Lambda and CodePipeline, reducing deployment time by 40% and increasing success rate by 15%. Created a multi-terabyte data warehouse on Amazon Redshift, improving processing capacity by 50% and query performance by 35%.

ETL Developer at Broadridge Financial Solutions, INDIA

December 1, 2022 - August 26, 2025

Designed and deployed scalable ETL pipelines using AWS services S3, EC2, Lambda, RDS, and Redshift to enable near real-time data processing and reduce operational costs by 30%. Built large-scale data ingestion workflows with Python and Apache Airflow to automate ETL processes across multiple sources. Developed PySpark ETL jobs integrating data lineage and transformation logic, reducing errors by 25%. Automated data validation and cleansing with GCP tools, reducing manual effort by 50% and improving data quality. Engineered data integration processes consolidating structured and unstructured data into Snowflake for enhanced analytics accessibility. Collaborated with stakeholders to define data models improving reporting precision by 15%. Created optimized Power BI models supporting interactive dashboards and executive reporting. Implemented GDPR compliance with anonymization and access control, fine-tuned ETL performance ensuring scalability and reliability.