Alekhya Vankayala
DevOps Engineer • Bengaluru, Karnataka • a*****************@gmail.com • +91*******103
Professional Summary
DevOps Engineer with 10 months of hands-on internship experience building CI/CD pipelines, containerized deployments, and cloud infrastructure on AWS. Practical experience with Jenkins, Docker, Kubernetes, Terraform and Ansible to automate deployments, enforce Infrastructure-as-Code, and implement monitoring with Prometheus and Grafana. Strong analytical background from data analyst and data science roles with SQL, Python and Power BI skills, enabling data-driven platform improvements and observability-focused automation.
Technical Skills
Programming Languages: Bash,Python
Databases: SQL,MySQL
Cloud and DevOps: Jenkins,Argo CD,Maven,Docker,Docker Compose,Kubernetes,Helm,Docker Hub,AWS EC2,AWS S3,AWS IAM,AWS VPC,AWS RDS,AWS EKS,AWS CloudWatch,Microsoft Azure,Terraform,Ansible,Nginx
Data and Analytics: Power BI,Power Query,DAX,Python Pandas, NumPy
Tools and Methodologies: Git,GitHub,Visual Studio Code,Jupyter Notebook
Monitoring & Logging: Prometheus,Grafana,ELK Stack,Azure Monitor
Operating Systems & Web Servers: Linux Ubuntu, CentOS,Windows,Apache
Work Experience
Frontlines EdTech (FLM)
Hyderabad
DevOps Engineer – Internship
OCT 2025 – MAR 2026
Tech Stack: Jenkins, Git, Maven, Docker, Kubernetes, Helm, Terraform, AWS, Prometheus, Grafana, Bash, Python
- Engineered Jenkins CI/CD pipelines integrated with Git and Maven to automate build, test, and deployment stages across multiple services, eliminating manual deployment steps and improving release reliability.
- Containerized applications with Docker and published images to Docker Hub; deployed and managed workloads on Kubernetes using manifests and Helm charts to enable scalable, repeatable rollouts.
- Provisioned AWS infrastructure using Terraform (EKS, VPC, IAM, EC2) and implemented remote state management in S3 with DynamoDB locking to ensure reproducible environments.
- Implemented Prometheus metrics collection and Grafana dashboards to monitor CPU, memory and request latency; configured alerts to speed up incident detection and response.
- Developed Bash and Python automation scripts for health checks, automated validation, and rollback procedures to reduce manual troubleshooting during releases.
- Collaborated with development and QA teams to define deployment strategies, author Helm charts for environment parity, and streamline CI feedback loops for faster iterations.
Red Switch Global
Bengaluru (Hybrid)
DevOps Engineer – Internship
MAR 2025 – SEP 2025
Tech Stack: Jenkins, Git, Docker, Docker Compose, Ansible, AWS EC2, AWS CloudWatch, IAM
- Designed Git-integrated CI/CD pipelines with Jenkins to accelerate build-test-deploy cycles and improve release consistency across staging and production environments.
- Provisioned and maintained AWS infrastructure including EC2 instances, IAM roles and CloudWatch monitoring to support scalable web applications and centralized observability.
- Automated server configuration and application deployments using Ansible playbooks to reduce configuration drift and enable repeatable environment setups.
- Introduced Docker-based packaging for legacy apps and integrated Docker Compose in CI workflows to standardize development and CI environments.
- Participated in production incident troubleshooting, analyzing logs and metrics to perform root-cause analysis and implement corrective actions.
- Authored infrastructure documentation and runbooks and shared CI/CD best practices with the engineering team to reduce on-call resolution time and knowledge gaps.
Atliq Technologies
Data Analyst Intern
OCT 2024 – FEB 2025
Tech Stack: MySQL, SQL, Python, Power BI, Power Query, DAX, Excel
- Performed data variance analysis and validated SQL queries in MySQL to ensure 100% accuracy in data extraction for business reporting.
- Applied data cleaning and normalization techniques using Python and Excel to maintain dataset integrity and enable reliable downstream analysis.
- Designed and deployed interactive Power BI dashboards integrating Excel/CSV and SQL sources to provide cross-functional insights across departments.
- Built data models and optimized DAX measures to enhance dashboard performance and support faster stakeholder decision-making.
- Conducted ad-hoc analyses to answer business questions and translated findings into actionable recommendations for product and operations teams.
- Automated routine reporting tasks with Power Query and scripting to reduce manual reporting time and improve report consistency.
Innomatics Research Labs
Hyderabad
Data Science Intern
JAN 2024 – APR 2024
Tech Stack: Python, SQL, AWS EC2, ChromaDB, Streamlit, Jupyter Notebook
- Performed advanced analytics on AMCAT platform data using Python and SQL, improving platform performance by 15% and reducing code runtime by 20% through bug fixes and optimization.
- Built and deployed AWS-based web applications on EC2, implementing email validation and integrating sentiment analysis models to improve classification accuracy by 18%.
- Engineered an AI-powered video search engine using ChromaDB embeddings and exposed functionality through a Streamlit application for efficient subtitle-based search.
- Designed and optimized machine learning pipelines including preprocessing, training and evaluation to increase model reliability and reduce inference errors.
- Collaborated with product and engineering stakeholders to convert analytics insights into actionable product improvements and performance metrics.
- Maintained reproducible notebooks, documented experiments and automated data ingestion to accelerate iterative model development.
Mere SKILL
Data Analyst Intern
SEP 2023 – OCT 2023
Tech Stack: Python, SQL, Power BI, Tableau, Power Query, Excel
- Optimized retail inventory management using Python and SQL, increasing data accuracy by 20% through systematic cleansing and validation routines.
- Developed Power BI and Tableau dashboards to visualize inventory and sales performance, reducing reporting time by 25% and enabling timely decisions.
- Implemented automated ETL extracts to consolidate POS and inventory data, improving report timeliness and reliability.
- Performed root-cause analysis on stockouts and delivery issues, contributing to a 10% reduction in stockouts and a 5% improvement in on-time deliveries.
- Standardized data definitions and documented ETL processes to reduce discrepancies between systems and stakeholders.
- Presented findings and recommended supply chain process improvements to stakeholders to align inventory levels with demand patterns.
Analytics
GitHub Operating Systems
Education
Amrita Sai Institute of Science and Technology, Vijayawada
B.TECH., Electronics and Communication Engineering • Vijayawada, Andhra Pradesh, India • AUG 2019 – MAY 2023
Innomatics Research Labs, Hyderabad
Course - Data Science • Hyderabad • JUN 2023 – JUN 2024
Frontlines Media, Hyderabad
Course - Multi-Cloud DevOps Training Program • Hyderabad • JUN 2025 – DEC 2025
Certifications
Advanced ML & Generative AI Internship • MAR 2024 - APR 2024
Advanced Data Analysis Internship • JAN 2024 - MAR 2024
SQL (Basic to Advanced) — HackerRank
Python 101; Data Analysis and Machine Learning with Python — IBM
Python Developer Essentials — Udemy
Python Fundamentals — Infosys
NPTEL Cloud Computing — NPTEL • NOV 2022
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