Jayant Sharma

Utilized technical skills in cloud security, DevOps, and software development to streamline development processes, resulting in a 25% decrease in bug reports. Developed and implemented Python-based Salt-stack solutions to efficiently meet specific infrastructure needs, resulting in a 20% increase in overall system performance. Fabricated customized execution modules and runners, facilitating seamless integration with set Python libraries and frameworks. Designed and implemented architecture for new features, leading to a 20% increase in production efficiency. Integrated Accuknox solution with open-source security tools such as Security-hub, Cloudsploit, and Trivy, resulting in improved security measures and vulnerability scanning capabilities. Leveraged technical skills in Neo4j, PostgreSQL, GraphQL, Django, OGM, and ORM mapping tools to successfully complete the integration process. Spearheaded the recruitment and mentorship of a Python development team, growing the unit from 3 to 12 engineers within a year, enhancing team productivity and project delivery timelines by 30%.

Developed and maintained an application tool for Revenue Forecasting, Supply Chain Management, and Supply Chain Optimization using Python. Developed Python scripts to automate data processing tasks, resulting in a 40% increase in efficiency. Developed and implemented an efficient upload manager using Python to handle large .zip and .xls files with over 50k records of financial and transaction data.

Led the development of the entire project, considering crucial factors for creating a future-ready, robust, and scalable system. Developed and implemented Python data pipelines on the EKS platform, replacing Informatica jobs for the BIW Canada Project (J&J). Developed and implemented optimization strategies to enhance data processing speed on the Redshift platform, resulting in 30% faster reporting and analytics. Developed scripts for data migration from Salesforce to AWS. Developed log file monitoring management for data load scripts. Developed and implemented front-end and back-end modules using Python on Django Web Framework. Developed and implemented dashboards and analytics using Rest APIs and visualization on Django admin panels, utilizing Python libraries such as Pandas, NumPy, and Matplotlib.

Achieved top position in the IEEE Circuit Design competition for developing a smart water level detector device. Additionally, excelled in presenting a research paper on the integration of Artificial Intelligence in power systems.