Cloud Data Engineering and Analytics
We're your cloud data engineering specialists. From building robust data infrastructure to enhancing data analytics capabilities, we deliver actionable insights that drive decision-making. We have worked with over 30 clients across diverse industries. Let us help you harness the power of data for success
Data Pipeline Design and Development
End-to-end data pipeline design and development services. Help clients collect, process, and transform data from various sources into valuable insights. This service can include ETL (Extract, Transform, Load) pipeline development, data integration, and orchestration using tools like Apache Airflow or cloud-based solutions.
Cloud Data Migration and Architecture
Assist clients in migrating their on-premises data infrastructure to cloud platforms (e.g., AWS, Azure, Google Cloud). Provide expertise in designing and implementing scalable and cost-effective cloud data architectures, including data lakes, data warehouses, and real-time data processing solutions.
Custom Data Solutions and Analytics
Develop custom data solutions tailored to the specific needs of each client. This can involve building analytics dashboards, data visualization tools, machine learning models, and data-driven applications that allow clients to derive actionable insights from their data
Get Started with Data Excellence
Backend infrastructre for Prop Tech app
Designed a dynamic data model and implemented REST APIs using AWS technology. Developed data pipelines which extracted and parsed multiple data sources and injested noramlzied data in to an SQL database.
Technology: Lambda Functions, API Gateway, AWS RDS, Python
Cloud Migration for Insurance Aggregator
Migrated ETL, databases & reporting from on-prem to cloud infrasturue.
Technology: Azure, Python, Azure functions, Microsoft SQL Server
Custom Sales & Opersations model for CPG client
Developed a customized sales and operations planning system. This involved creating predictive models by ingesting diverse data sources, including sales, manufacturing, sales assumptions, and marketing events, to forecast future production and store-level sales.
Technology: Azure, Python, Databricks