Hello, I'm
Pareshkumar Mahyavanshi
Software Developer
Specializing in Python, DevOps with AWS Cloud Platform, Data Engineering, and Web Development
Software Developer
Specializing in Python, DevOps with AWS Cloud Platform, Data Engineering, and Web Development
I'm a Python Developer with extensive experience in DevOps, cloud infrastructure, and end-to-end automation. I specialize in designing scalable, secure, and production-grade systems that streamline complex business workflows using Python and cloud-native technologies.
I have deep expertise in AWS services such as EC2, S3, RDS, IAM, Lambda, Secrets Manager, and VPC networking. I build and deploy infrastructure using Terraform and CloudFormation, with configuration management handled by Ansible.
My DevOps toolkit includes containerization with Docker, orchestration with Kubernetes, and CI/CD pipeline automation using GitLab CI/CD, GitHub Actions, Jenkins, and Apache Airflow. I also integrate Databricks for data pipeline and analytics workflows.
I develop robust backend solutions using Django and Flask, incorporating role-based access, secure authentication, and modular architecture. My database experience spans PostgreSQL and MongoDB, and I’ve worked extensively on API development, data processing automation, and cross-functional collaboration in cloud environments.
Years Experience
Projects
Degrees
Complete tech stack I work with across different domains
| AWS | EC2, S3, RDS | Lambda, IAM, EFS | Secrets Manager, SSM | VPC, Route 53, CloudWatch |
|---|---|---|---|---|
| Containers | Docker & Docker Compose | Kubernetes (kubeadm) | kubectl, Kind, Minikube | Helm |
| CI/CD | GitLab CI/CD | GitHub Actions | Jenkins | Apache Airflow |
| IaC & Config | Terraform (HCL) | AWS CDK (Python) | Ansible | dotenv |
| Security | Tailscale VPN | AWS Secrets Manager | Security Groups/NACLs | SSM Session Manager |
| Data | Airflow | Databricks | PostgreSQL | MongoDB |
| Web | Django (Auth, ORM) | Flask (Blueprints) | HTML5/CSS3/JavaScript | Jinja2 Templates |
| Web UX | Pagination | Prefilled Forms | Conditional Fields | Autocomplete |
| Other | Jira & Confluence | Markdown & Documentation | Git & GitHub | Logging/Monitoring |
| Databases | PostgreSQL (RDS) | MongoDB (NoSQL) | SQL Query Language | Document DB Modeling |
| Data Validation | YAML Schema Definitions | Custom Python Validators | Nested Object Validation | Auto-increment ID Logic |
| Data Pipelines | Apache Airflow (DAGs) | Jenkins (SFTP/Files) | Databricks Processing | Containerized Workflows |
| Data Security | Secrets Masking | .env Configuration | AWS Secrets Manager | Secure Data Transfer |
Designed and deployed secure, automated data pipelines to process sensitive healthcare data in compliance with HIPAA and HITRUST standards.
Migrated legacy systems (Shell, SQL, R) to a modern, cloud-native architecture using Python, Apache Airflow, and AWS.
Led end-to-end automation of data ingestion, transformation, analytics integration, and result delivery pipelines.
Enhanced CI/CD workflows using GitLab, Jenkins, Apache Airflow, and Databricks to support rapid and reliable deployments.
Developed a secure SFTP automation system for encrypted client file transfers and result distribution.
Managed production and staging environments, ensuring high availability and operational efficiency across all pipelines.
Collaborated with cross-functional teams to deliver scalable, reliable, and performant systems.
Implemented infrastructure as code using Terraform, and containerized services with Docker and Kubernetes.
Built dynamic configuration systems using YAML, CSV, and Jinja2 templates to support reusable and flexible workflow automation.
Achieved a 90% reduction in turnaround time by transitioning manual workflows to fully automated pipelines capable of handling 10x data volume growth.
Developed a durable internal web application to streamline workflow tracking and improve visibility across production stages.
Built custom job tracking systems using Django, Python, HTML, CSS, and SQLite to enhance automation and reduce manual effort.
Designed and implemented a Manufacturing Operating System (MOS) to manage the entire lifecycle — from raw material input to final product quality checks.
Collaborated with multiple teams to analyze CNC and manual machine performance, ensuring compliance with production standards.
Conducted quality inspections using pneumatic gauges, hand tools, CMMs, and vision systems to ensure products met engineering requirements.
Improved efficiency, traceability, and team collaboration by introducing process documentation and machine operation tracking systems.
Harrisburg University of Science and Technology
Northwestern Polytechnic University
Veer Narmad South Gujarat University (VNSGU)
Here are some of my recent projects. Check out my GitHub for more!
End-to-end data processing system built with Apache Airflow for orchestrating complex ETL workflows. Features include schema validation, secure SFTP transfers, AWS S3 storage, event-driven Lambda processing, and data normalization with MongoDB and PostgreSQL databases.
Infrastructure as Code implementation using Terraform (HCL) and Ansible playbooks to provision and manage AWS resources. Features include multi-environment deployments, security group management, automated CI/CD pipeline setup with GitLab CI/CD, and code quality checks via SonarQube.
A complete web-based Manufacturing Operating System built with Django and Python. Features include role-based user authentication, workflow tracking, conditional form fields, prefilled update forms, and responsive design for shop floor tablets and mobile devices.
Containerized microservices architecture deployed on a Kubernetes cluster (kubeadm). Features include auto-scaling deployments, service discovery, ingress configuration, Persistent Volume Management
Feel free to reach out for collaborations or just a friendly chat
Toronto, Ontario, Canada