Software Engineer turned Data Engineer with experience in mobile development (Android, React Native), backend systems (Spring, Node.js, FastAPI), and data engineering. Currently focused on data analysis, ETL processes, real-time data streaming, and CDC using AWS tools. Self-studying ML/DL with exposure to TensorFlow, PyTorch, NLP (RNN, LSTM), and CNNs.

Anil Kumar Shah is a seasoned Data Engineer with over 8 years of experience in data engineering, ETL development, and software engineering across the retail, healthcare, and environmental monitoring sectors. He has led offshore teams and worked closely with international clients including Staples, Groupe Dynamite, and Cotiviti. Anil possesses strong technical skills in Azure Data Factory, Snowflake, Python, and SQL with a solid foundation in business intelligence, retail analytics, and sensor data systems. He is also proficient in both backend and frontend development, with practical exposure to electronic devices, environmental monitoring, and systems integration.

Saroj Dahal is an experienced software professional with over 4 years in the tech industry. He has worked across data engineering, analytics, business intelligence, machine learning, and full-stack web development. Currently a Software/Data Engineer at LIS Nepal (Robling USA), Saroj has built robust ETL pipelines for clients like HotTopic, Snipes, and Wiggle. Proficient in Python, SQL, Django, and Javascript, he combines backend expertise with ML and data visualization using Looker. Saroj is a self-motivated, fast learner and an excellent communicator, making him a reliable team player committed to delivering high-quality solutions.

Diwash Joshi is a Senior Data Engineer with over 4 years of experience in data analysis, ETL processes, and reporting across the healthcare, staffing, and banking industries. He has a strong background in SQL, AWS, and database management systems. Known for his hands-on expertise in managing large-scale data pipelines and creating high-impact reports, he has led teams, standardized data practices, and optimized complex queries. Diwash holds a Master’s degree in Computer Science and has a reputation for problem-solving, team leadership, and continuous improvement in data quality and performance.

Dynamic and motivated individual with a strong interest and growing career in Business Intelligence. Skilled in Python programming, data visualization, SQL Server, Power BI, Tableau, and ETL tools like Tableau Prep. Adaptable and driven with hands-on experience across retail, healthcare, staffing, and sales domains, and a passion for leveraging data for business insights and innovation.

A driven Data Engineer with around 2 years of experience in Microsoft SQL Server and Microsoft Azure, skilled in building and managing scalable data infrastructure. Proficient in creating customized reports, optimizing SQL performance, and developing cloud-based data solutions using Azure services. Adept at problem-solving, systematic analysis, and delivering creative solutions to meet enterprise-level needs and standards.