Garima Asthana

Background

About Garima Asthana

Graduate in Computer Science Engineering and with over 14 years of experience as a Full-Stack.NET Developer and Data Engineer, I specialize in crafting scalable, efficient, and innovative solutions that drive business success. My expertise spans designing high-performance.NET applications, secure web platforms, real-time data pipelines, ETL transformations, and Python-based ML solutions for model training and visualization, offering a unique combination of development and data engineering skills that enable efficient data-driven decision-making, and innovative, scalable solutions. I bring versatile domain experience in Healthcare, Finance, and Oil & Gas, with a hands on experience of machine learning, big data tools, and data analytics. An effective communicator and team player, I am passionate about solving complex problems and leveraging emerging technologies to deliver impactful results. Software Development Experience: A Full-Stack.NET Developer with over 11 years of expertise in designing Net applications and web applications using Microsoft technologies, including C#, WPF, ASP.NET MVC, WCF, and RESTful services. I specialize in: • Azure Lift & Shift Migrations: Migrating desktop applications to Azure IaaS, configuring VMs, Azure Blobs, Remote App Publishing, and Virtual Desktop Infrastructure (VDI). • Web Application Development: Using C#.NET MVC, Razor, HTML, CSS, JQuery, and integrating RESTful API services and WCF. • Backend Development: SQL queries, stored procedures, functions, triggers, and views. Data Engineering Experience: As a Data Engineer, I have led the design and development of large-scale big data solutions, specializing in building and optimizing ETL pipelines and data processing services. I have extensive experience in transforming large datasets into actionable insights, PostgreSQL for efficient data storage and management. I have developed scalable Python applications for ML model training, using Plotly Dash for intuitive model calibration and leveraging parallel processing to enhance performance. I’ve also built and optimized real-time data workflows, with data quality checks, buffering, and integration with Kubernetes microservices for real-time prediction data visualization. In addition, I have designed and implemented Python REST APIs for handling large datasets and data processing. Throughout my career, I have collaborated with cross-functional teams of data scientists, ML engineers, software developers, and project managers to deploy data solutions that drive business value and improve decision-making.