Ali Raza Shahzad

Designed and implemented FADIP (Fully Automated Data Ingestion Pipeline) software, encompassing data processing, CSV and GeoJSON file generation, database ingestion on AWS RDS server, and data quality assurance.
Achieved a 95% accuracy rate in data processing, significantly improving efficiency.
Implemented email notifications to project stakeholders, ensuring seamless communication and collaboration.
Developed a robust pipeline for creating and storing database backups on AWS server, enhancing data security and integrity.
Achieved a 100% success rate in backup creation and storage, ensuring data availability and disaster recovery preparedness.
Architected an automated file extraction data pipeline for stakeholders and deployment of files on AWS buckets, streamlining data access and distribution.
Reduced manual effort by 80% through automation, increasing operational efficiency.
Engineered a pipeline to process and ingest parcel data post-processing in QGIS, along with a seamless data transfer pipeline between databases using automated code.
Achieved a 90% reduction in data transfer time, optimizing data workflow and resource utilization.
Implemented an automated web scraping pipeline, executing scheduled extractions to extract data.
Achieved a 90% success rate in data extraction, providing timely and accurate data for analysis.
Collaborated effectively with cross-functional teams using Jira, managing tasks, and updating statuses to uphold KPIs.
Demonstrated strong project management skills, contributing to the timely completion of deliverables.
Containerized all standalone projects using Docker, enhancing portability and scalability while ensuring consistency across environments.
Achieved a 100% containerization rate, optimizing deployment and management processes.
Collaborated with the manual data processing and ingestion team and the AI team to ensure smooth integration of processes that were previously operating independently.

Engineered a robust data pipeline using Python, automating the ingestion and processing of data into a PostgreSQL database.
This streamlined data processing efficiency, ensuring seamless operation on a weekly schedule.
Developed interactive dashboards utilizing Microsoft PowerBi, Tableau, and Elasticsearch, offering stakeholders intuitive data visualization solutions.
These dashboards provided valuable insights and facilitated informed decision-making.
Managed databases and crafted front-end web pages with Python, enabling users to interact with dynamic dashboards for a user-friendly experience.
This enhanced accessibility and usability, resulting in positive user feedback.
Implemented automation solutions across various tasks, optimizing processes and enhancing overall operational efficiency.
These efforts resulted in significant time and resource savings.
Led the design and implementation of project pipelines, ensuring smooth task and data flow throughout the project lifecycle.
This meticulous planning and execution contributed to project success and timely deliverables.
Utilized QGIS and Elasticsearch for handling geographical data, showcasing proficiency in spatial information management for analytical purposes.
This enabled more comprehensive data analysis and informed decision-making.