Sai Harish Dasari

WORK HISTORY

EDUCATION

ABOUT SAI HARISH DASARI

Designed and developed a robust data conversion tool to automate data migration across heterogeneous data systems, ensuring seamless transformation from Informatica XML to PySpark frameworks.•Enhanced system reliability through intelligent logging, monitoring, and exception management frameworks, enabling proactive issue detection and faster recovery.•Contributed to building a modern data platform that streamlined ETL workflows, improved data accessibility, and reduced manual data preparation efforts by over 40%.•Partnered with life science researchers to design and deploy end-to-end automation pipelines, accelerating experimental data processing and reporting.•Utilized PostgreSQL for efficient data structuring and chunk-based processing, ensuring performance and consistency across large datasets.•Engineered interactive Shiny dashboards with rich data visualization features, improving user engagement and decision-making capabilities.•Designed a laboratory data mapping pipeline integrating intuitive user interfaces for simplified data input and experiment tracking.•Implemented secure data storage and retrieval systems, maintaining integrity and compliance of sensitive research data.•Significantly enhanced scientists’ productivity by integrating dashboards and automation tools into existing workflows, reducing manual effort and turnaround time.•Recognized for consistent delivery of innovative, research-oriented data solutions, and committed to continuous improvement and technological advancement.•Expertly managed data ingestion, transformation, and validation from multiple database sources to maintain accuracy, consistency, and reliability.•Integrated shipping pipeline data into Shiny dashboards, enabling transparent and real-time visibility of package movements and logistics operations.•Automated email notifications and status updates, enhancing collaboration between shipping and receiving teams.•Leveraged R (ggplot2) and interactive visualization libraries to generate meaningful insights and trend analyses from operational data.•Championed data-driven decision-making through customized reporting and visualization solutions aligned with business KPIs.•Designed and implemented RESTful APIs with FastAPI, enabling seamless data exchange between enterprise systems.•Utilized Python for developing and maintaining scalable API backends, optimizing data flow and integration efficiency.•Collaborated directly with end-users and stakeholders to gather requirements, ensuring API solutions aligned with business needs and technical objectives.