Shivam's Portfolio

About me

As a Software Development Engineer with a strong focus on Site Reliability Engineering (SRE), cloud computing, data engineering, and security, I bring a track record of impactful projects across organizations like American Express, Arizona State University, Aramark, Adani, and Cognizant. My current role at American Express involves optimizing server health and visibility through Splunk-to-ELF migration and OpenTelemetry integration, achieving notable improvements in uptime and operational costs.

I specialize in building scalable, secure infrastructure and data solutions, leveraging a robust tech stack that includes Python, Java, SQL, Node.js, React, and frameworks such as Spring Boot and Flask. My expertise also extends to cloud and DevOps tools (AWS, Azure, GCP, Kubernetes, Docker, Terraform) and data engineering technologies like Kafka, Spark, and BigQuery. Certifications like AWS Solutions Architect and Security+ reinforce my ability to deliver robust, efficient solutions in cloud and security-focused environments.

With a strong academic background from Arizona State University and hands-on experience in ML, AI, and data analytics projects, I am passionate about transforming data into actionable insights. Explore my GitHub and LinkedIn to see my projects and connect on potential collaborations in data-driven, secure cloud solutions.

My Expertise

Powerful Websites

Creating the backbone of websites to make them efficient and dynamic.
Cloud Solutions

Designing and implementing online tools that run securely and smoothly.
Data Science

Leveraging data science to uncover insights that drive informed decisions.

Resume

Education

Arizona State University - Ira A. Fulton Schools of Engineering, GPA 4.00
Master of Information Technology (Project Management), May 2024
Relevant Coursework: Advanced Big Data, Data Visualization & Reporting for IT, Cloud Architecture, Information System Development, Advanced DBMS, Machine & Deep Learning and Computer Architecture.
SRM Institute of Science and Technology, GPA 3.02
Bachelor of Electronics and Communication Engineering, May 2021
Relevant Coursework: Programming in C, Virtual Reality, VLSI Design, Advanced Calculus, Probability, Discrete Maths, Wireless Comm., Network Protocols, Cryptography and Network Security, Integrated Circuits.

Experience

Software Development Engineer (SRE)
Sep 2024 — Present
American Express, Phoenix, AZ, USA
• Engineered migration from Splunk to ELF and integrated OpenTelemetry, boosting analytics and server health visibility by 34%.
• Developed automation scripts for data encoding, enhancing server uptime by 28% and reducing operational costs by 17%.
• Improved cross-team collaboration with MEM, Dev, and Production teams, increasing productivity by 39%.
Team Lead Analytics
Jul 2024 — Sep 2024
Arizona State University with Integrated Travel, Tempe, AZ, USA
• Directed Net-Zero transit analytics, integrating SQL, Python, and R, increasing transport efficiency by 16%.
• Managed multi-source ETL workflows, achieving a 22% improvement in data accuracy.
• Engineered an end-to-end data pipeline using Redshift, resulting in a 15% reduction in operational costs.
Operations Analyst
Jan 2023 — May 2024
Aramark, Arizona State University, Tempe, AZ, USA
• Migrated procurement systems to AWS, reducing overhead costs by 26% and enhancing scalability.
• Developed automated workflows in Workday, increasing operational efficiency by 28%.
• Integrated Salesforce CRM with cloud-based solutions, improving customer satisfaction rates by 31%.
Device Usability Researcher
Jan 2022 — Jul 2022
MCMIT with Adani Edu., CG, India
• Led Node.js IoT platform project, boosting user engagement by 25% through analytics and UX improvements.
• Increased team efficiency and reduced delivery times by 30% through Agile practices.
• Enhanced feedback mechanisms by 25% through GCP analytics for better participant engagement.
Programmer Analyst
Jan 2021 — Dec 2021
Cognizant, Chennai, TN, India
• Optimized financial data pipelines with Kafka and Spark, achieving a 12% reduction in processing latency.
• Improved Azure cloud scalability, resulting in an 18% deployment efficiency boost with Kubernetes.
• Led a Healthcare Insurer Project, enhancing data processing by 20% using Spring Boot.
Intern: Product Analysis
May 2019 — Jul 2019
Hewlett Packard Enterprise, Singapore
• Reduced deployment cycles by 17% with data analytics, addressing printer issues more efficiently.
• Enhanced predictive analytics models, increasing customer experience tracking accuracy by 15%.
• Implemented data pipelines with TensorFlow, PySpark, and Azure Databricks, boosting data-driven decision-making by 28%.