Data engineering is the art and science of designing, building, and maintaining the infrastructure that allows data to flow smoothly within an organization. It is all about creating robust data pipelines, transforming raw data into valuable insights, and ensuring data quality and availability. Data engineering empowers software companies to make data-driven decisions, develop intelligent applications, and gain a competitive edge.
In today's business landscape, organizations are tasked with the management and optimization of substantial volumes of data, which must be refined into valuable business insights. Our team, comprising proficient and seasoned Data Engineers and Consultants, is dedicated to establishing cutting-edge infrastructure and enhancing the efficiency of your data, enabling you to make informed decisions and realize your strategic business objectives
Building production-grade repeatable and independent data workflow pipelines to move, transform and store data. Using various legacy, Big Data and / or cloud orchestration and data management pipeline tools and techniques like DF, Databricks, Synapse, Informatica, and others, to process data in batch and real time.
Extraction of structured, unstructured data coming from streaming and batch sources and refining/cleansing data to make it available on legacy database or cloud systems, to data scientists and business users for exploration and analysis
Extracting, processing, transforming, and loading data techniques into various relational, non-relational, NoSQL, big data systems and/or cloud storages, depending on data availability, volume, velocity, and type of data.
An efficient and smart approach for migrating business data to / from on-prem legacy systems into cloud storage infrastructure or new target platforms.
Expertise in implementing real-time and batch data processing systems across distributed environments based on mobile, web hosting and cloud services.
utomated data quality solutions for critical tasks, including correction, enrichment, standardization, and de-duplication.
Data discovery & Data maturity assessment.
Data quality checks and standardization services
Cloud based scalable solutions for large volumes of data.
Real-time and batch data processing.
Optimization of database and data warehouse platforms.
Advanced data analytics.
Web API & data streaming development.
Data Engineering using GenAI(Generative AI).
AI Based Data Engineering Pipeline.
Generative AI (GenAI) Based Data Quality
GenAI Based Operation Center.
AI Based Data Governance.
Data Lake.
Data warehouse.
Lake House
Delta Lake.
Data Virtualization
Data Management
Data Security.
Data Engineering on Azure.
Data Engineering on GCP.
Data Engineering on AWS.
On premises Data Engineering.
Data Engineering Cost Optimization using AI