Tanvi Kanchan - Cloud Engineer

⬢ Manifesto

"Build infrastructure that is observable, scalable, and repeatable, then automate everything else."

Cloud and software engineer pursuing a Master's at the University of Maryland, College Park, with hands-on experience across AWS infrastructure, Kubernetes platforms, backend APIs, and automation. Skilled in building cloud-native systems using Docker, EKS, Terraform, CloudFormation, and CI/CD pipelines, with additional experience in Databricks, PySpark, and Delta Lake for scalable analytics. Strong foundation in Linux, distributed systems, observability, and production support with a focus on secure, reliable, and scalable engineering solutions.

⬢ Experience

[Jun 2023 – Jul 2024]

Cloud Engineer

Newfold Digital · Mumbai, India

:: AWS · Linux · Automation · Production Support

Supported cloud infrastructure operations for Linux-based production environments, resolving 7,000+ technical issues across application, web, email, and backend service layers with 4.84/5 CSAT and 91.9% first-contact resolution.
Automated infrastructure monitoring, health checks, and recurring workflows using Bash and Python, reducing reactive incident volume by 15%.
Supported AWS environments, infrastructure configuration, and deployment validation with exposure to Terraform, CloudFormation, Docker, and Kubernetes.
Collaborated with engineering teams on release support, incident triage, and log analysis aligned to CI/CD workflows.

[Apr 2022 - May 2023]

Software Engineer Intern

Autumn Tech Labs · Mumbai, India

:: Python · MySQL · REST APIs · Backend Services

Developed backend features, RESTful APIs, and service-layer logic in Python, improving inventory processing efficiency by 25%.
Debugged application and environment issues with developers to improve deployment stability and reduce recurring defects.
Worked on MySQL schema design, query tuning, and data integration workflows to strengthen data consistency.
Assisted with testing, API integration, and cloud-supported deployments for scalable backend services.

⬢ Education

🎓

University of Maryland, College Park GPA 3.88 / 4.0

Master of Engineering - Cloud Engineering

College Park, MD

:: Core Focus

Cloud Computing · Cloud Security · Linux System Administration · Networks & Protocols · Data Storage & Databases

🎓

University of Mumbai - Atharva College of Engineering GPA 9.42 / 10.0

Bachelor of Engineering - Electronics & Telecommunication

Mumbai, India

:: Core Focus

Computer Communication Networks · Database Management · Linux Networking & Server Configuration

⬢ Project Showcase

E‑Commerce Microservices Platform on AWS EKS

Stack :: AWS · EKS · CloudFormation · Kubernetes · ALB · IRSA · GitHub Actions · Lambda

Provisioned a private AWS EKS foundation via CloudFormation, including VPC, subnets, route tables, NAT gateway, node groups, IAM roles, and ECR repositories. Deployed the AWS Load Balancer Controller with IRSA and ALB‑based Ingress for secure path‑based routing across six microservices. Integrated Metrics Server, Cluster Autoscaler, and the EBS CSI Driver to enable autoscaling, persistent volumes, and resilient scheduling.

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Key Engineering Win

Enabled secure CI/CD with GitHub Actions and a self‑hosted bastion runner, plus a serverless notification workflow using Step Functions, SES, API Gateway, and S3 for automated email reminders.

Customer Behavior Analytics Platform

Stack :: Python · PySpark · Databricks · Databricks SQL · Delta Lake · ETL

Built a customer behavior analytics platform using Python, PySpark, and Databricks to process user activity logs, transaction events, and application data for large-scale analytics. Developed ETL pipelines and transformation workflows to clean, aggregate, and enrich raw datasets, enabling trend analysis and operational reporting.

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Key Engineering Win

Stored curated data in Delta Lake and queried it with Databricks SQL, enabling ACID-compliant analytics with schema enforcement and performant cloud-scale queries.

Predictive Infrastructure Auto‑Scaler

Stack :: AWS EKS · CloudWatch · Amazon RDS MySQL · Docker · Kubernetes · Prophet

Engineered a predictive auto‑scaling service deployed as a highly available Dockerized workload on AWS EKS, interfacing with the Kubernetes API to provision capacity ahead of demand spikes. Built a time‑series forecasting pipeline using the Prophet model trained on historical CPU, memory, and request metrics to drive intelligent scaling decisions. Integrated RDS MySQL for metric storage and CloudWatch for real‑time telemetry to compare predicted vs. actual behavior.

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Key Engineering Win

Achieved zero‑downtime scale‑outs by forecasting demand trends and automating proactive capacity provisioning, improving resource efficiency without sacrificing reliability.

Serverless Reminder Notification System

Stack :: AWS Step Functions · SES · API Gateway · S3 · Lambda

Architected an AWS Step Functions state machine orchestrating Lambda for business logic, SES for email delivery, and API Gateway for secure REST endpoints. Leveraged S3 for workflow state persistence in a fully event‑driven, zero‑server architecture.

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Key Engineering Win

Achieved zero‑server operational overhead with automatic horizontal scaling - delivering scheduled email notifications at scale while keeping costs proportional to usage.

PPA for Log Monitoring on Linux Server

Stack :: Linux · Python · Graylog · Ansible

Developed a Personal Package Archive distributing a custom log‑collection service, deployed at scale via Ansible playbooks. Logs are forwarded to Graylog for real‑time analysis, advanced search, and configurable alerting - enabling centralized observability across multi‑server environments.

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Key Engineering Win

Eliminated per‑server manual configuration - Ansible‑driven deployment enabled one‑command provisioning of log collection across an entire fleet of Linux nodes.

⬢ The Engine Room

⬡ Languages	Python Python Bash PowerShell SQL JavaScript HTML / CSS
⬡ Cloud & Infra	AWS GCP Azure EC2 Auto Scaling ALB RDS CloudWatch CloudFront S3 IAM VPC WAF EKS ECR
⬡ DevOps	Docker Kubernetes Helm GitHub Actions GitLab CI Jenkins Terraform Ansible CloudFormation
⬡ Observability	Prometheus Grafana ELK Stack Graylog CloudWatch CloudTrail
⬡ Data & Tools	PostgreSQL MySQL Databricks Delta Lake Kafka Git VS Code pgAdmin 4

⬢ Publication

Tanvi Kanchan, Jagtap Shripad, Avishkar Dige, Satyam Palkar, and Kavita Bani. "Exploring the Efficiency and Effectiveness of an Automated Robotic Vacuum Cleaner."

ISSN 0970‑2555 · Volume 52, Issue 2, No. 1 · February 2023