Siddharth Gahalot

Product Manager

Dehradun, Uttarakhand, India1 yr 6 mos experience

Most Likely To SwitchAI ML Practitioner

Key Highlights

Expert in building scalable data pipelines on Azure.
Developed a trending content aggregator web application.
Amazon ML Summer School alumnus with practical ML exposure.

Stackforce AI infers this person is a Backend-focused SaaS developer with expertise in data engineering and machine learning.

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Skills

Core Skills

Azure Data FactoryPython (programming Language)React.jsFirebase

Other Skills

AWS Elastic BeanstalkAmazon S3Angular CLIAttention to DetailAutoCADAzure SynapseBack-End Web DevelopmentC (Programming Language)C++Cascading Style Sheets (CSS)CommunicationComputer EngineeringComputer ScienceDatabase AdministrationDebugging

About

I have hands-on experience designing and deploying scalable, cost-effective data pipelines using Azure Data Factory and Azure Synapse. I've worked extensively with Big Data technologies such as PySpark and Hadoop to process and transform large volumes of data efficiently. My focus has been on optimizing operations and integrating cloud-based solutions to improve performance and reliability. In addition to my work in cloud and big data, I’ve built machine learning and NLP projects to solve real-world problems. As an Amazon ML Summer School alumnus, I gained valuable insights from leading industry professionals and strengthened my foundation in applied machine learning. I'm passionate about creating impactful, data-driven solutions and continuously exploring new technologies to grow in this field.

Experience

Cognizant

Programmer Analyst Trainee

Feb 2025 – Present · 1 yr 1 mo · Pune, Maharashtra, India · On-site

Developed and optimized scalable data pipelines using Azure Data Factory and Azure Synapse, automating workflows and enhancing performance through efficient Big Data processing with PySpark and Hadoop.
Built and maintained backend applications using Python (Django) framework, implementing RESTful APIs, data integration modules, and automation scripts to improve system reliability and operational efficiency.

Azure Data FactoryAzure SynapsePySparkHadoopPython (Programming Language)Django+1

Https://trending-427da-3cd32.web.app

Trendverse 🔥🔥

Aug 2024 – Jan 2025 · 5 mos

Trendverse is a web application I developed to centralize trending content from platforms like Reddit, YouTube, Medium, and Stack Overflow into a single, user-friendly interface. The platform is fully integrated with Firebase for real-time data storage and updates, and built using React with TypeScript to ensure a clean, scalable frontend architecture. I implemented category-wise organization (e.g., music, data news, Reddit) and optimized performance with features like image validation, skeleton loading, and responsive UI. The application was designed to deliver a seamless user experience while staying lightweight and production-ready. Currently hosted on Google Cloud Services, Trendverse reflects my focus on clean design, cloud integration, and real-time data delivery.

React.jsTypeScriptFirebaseGoogle Cloud Services

Amazon

Amazon Ml summer school

Jun 2024 – Jul 2024 · 1 mo · Remote

Grateful to be part of the Amazon Machine Learning Summer School — an intensive and enriching program led by experts at Amazon. Over the course of this program, I deepened my understanding of key ML concepts including:
🔹 Supervised & Unsupervised Learning
🔹 Deep Learning & Neural Networks
🔹 Probabilistic Graphical Models
🔹 Dimensionality Reduction & Feature Engineering
🔹 Model Evaluation & Deployment
The sessions offered not only theoretical depth but also practical exposure to real-world applications of machine learning at scale. A big thank you to Amazon for this incredible learning experience and to the mentors for their insights and guidance.