Saritha M

• Leveraged AWS services such as S3 and Redshift to establish a robust infrastructure for data management and storage, ensuring scalability and reliability.
• Utilized PySpark, a powerful open-source framework for large-scale data processing, to orchestrate the data ingestion process efficiently.
• Collaborated with the team to design and implement data pipelines that extracted data from Redshift, transformed it as required, and seamlessly loaded it into AWS S3 for further analysis and storage.
• Implemented best practices and optimizations in PySpark to enhance performance and minimize processing time, ensuring timely delivery of data to downstream systems.

• Worked closely with data engineers and data scientists to understand requirements and refine data ingestion processes, ensuring alignment with project objectives and business needs.

During my tenure, I contributed significantly to two projects focused onPHI deidentification and GRN Health Systems. Here's a summary of my key responsibilities and achievements:

• Collaborated closely with stakeholders to thoroughly understand the scope and requirements of the deidentification project. Leveraged NLP, regular expressions, Snowflake database, and Solr to devise effective strategies.
• Designed and developed PHI applications utilizing Python, NLP libraries such as Spacy and NLTK, and Regex, ensuring the efficient processing of unstructured text data.
• Implemented pre-processing steps to convert HTML to plain text before applying the de-identification algorithm, enhancing data quality and consistency.
• Integrated the de-identification algorithm seamlessly with the Snowflake database, ensuring secure storage of de-identified data with restricted access to authorized personnel only.
• Developed ETL processes to facilitate the extraction, transformation, and loading of data from diverse sources into Snowflake, streamlining data integration and analysis.
• Conducted ongoing monitoring of de-identified data to mitigate re-identification risks, promptly addressing any identified issues.
• Played a pivotal role in bug-fixing activities, ensuring the stability and reliability of the deidentification solution.
• Collaborated closely with the validation team to validate database records, identifying and rectifying potential PHI oversights.
• Engaged with the data engineering team to refine the de-identification algorithm based on feedback and observations from the validation process.
• Contributed to the documentation efforts to ensure compliance with HIPAA regulations, providing comprehensive support for the solution's regulatory adherence.

· Designed and developed a streamlined earnings statements uploader using Python and Django, enhancing the platform's functionality and user experience.

· Played a pivotal role in the design, development, and testing phases of applications, adhering to AGILE methodology to ensure iterative and responsive development practices.

· Implemented Python code for data retrieval and manipulation, optimizing performance and ensuring data integrity across the platform.

· Ensured seamless integration with backend systems and third-party services through robust API integration methods, enhancing the platform's interoperability and functionality.

· Actively engaged with customers, content writers, and business analysts to gather requirements and refine features, fostering collaborative development processes.

· Demonstrated a proactive approach to bug fixing, swiftly addressing issues and maintaining the platform's stability and reliability.