Pranavi
Pune, Pune Division, Maharashtra, India
Experience: 1 years
Open to: Full-Time
Education: Bachelors
Availability: Immediate
Skills: Django, JavaScript, Kubernetes, MSSQL, MySQL, PostgreSQL, Postman, Python
Previously worked at: IT Service Companies
Assessment Score: 53
- Educational Background
A recent BE in Information Technology from AVCOE, Sangamner, with a CGPA of 8.4. Completed secondary education with a 70% in PCM from SNDT College, Mumbai, and primary education with an 84% at GSMS School, Mumbai. - Certifications and Skills
Holds certifications in Azure Fundamentals AZ-900, Gen AI Practitioner, and StreamSets White and Yellow Belt. Skilled in programming languages like Python, SQL, Gen AI, HTML, CSS, JavaScript, and SparkSQL, with proficiency in data analytics, algorithm development, data visualization, and cloud services. - Work Experience – Software Engineer
Currently working as a Software Engineer at Persistent Systems since July 2022, where she addressed critical bugs, improved application reliability, and implemented Azure-based solutions, reducing downtime by 30% and security incidents by 25%. Developed data pipelines using StreamSets and Python, and managed cloud resources efficiently with Azure services. - Work Experience – Software Developer Intern
Completed a Software Developer internship at Persistent Systems from Feb 2022 to July 2022, where she worked on configuring SQL connections, developing Azure Functions, and integrating backend APIs with front-end UIs, while gaining experience in agile methodologies and SDLC processes. - Technical Expertise and Tools
Experienced in tools and platforms such as Azure DevOps, GIT, MySQL, Visual Studio, and StreamSets for data integration, pipeline development, and deployment. Skilled in using Azure services like Azure Data Factory, ADLS, Key Vault, and Databricks for cloud-based data orchestration and storage solutions. - Professional Strengths
Known for logical thinking, problem-solving skills, and a collaborative approach in team settings. Proven ability to design and implement complex programs and solutions, including deploying large language models (LLMs) to production environments using cloud computing platforms.