DATA ENGINEERING
& AI/ML

Data powers modern enterprises — but raw data needs to be transformed into structured, reliable, and intelligent insights. Our Analytics, Data Engineering & AI/ML practice ensures organisations can collect, process, analyse, and leverage data at scale for smarter decisions and automation.

HOW WE HELP

DATA PIPELINE DESIGN & ORCHESTRATION (REAL-TIME+BATCH)

DATA LAKES, WAREHOUSES & GOVERNANCE FRAMEWORKS

DATA QUALITY & CATALOGUING FOR ENTERPRISE-WIDE USAGE

STREAMING & EVENT-DRIVEN DATA INTEGRATION

Key Technologies & Tools

Apache Airflow & DBT

Apache Airflow is a powerful platform for scheduling and managing data workflows, while DBT (Data Build Tool) helps streamline data transformation processes for analytics.

Snowflake

A cloud-based data warehouse that enables fast, scalable data storage and analytics, with seamless integration across cloud environments.

Talend

A comprehensive data integration platform that enables easy extraction, transformation, and loading (ETL) of data from multiple sources.

BigQuery

Google Cloud's fully managed, serverless data warehouse that enables super-fast SQL queries on large datasets.

Kafka

A distributed event streaming platform used for building real-time data pipelines and streaming applications.

Redshift

Amazon's data warehouse solution that allows fast query performance and scaling for large datasets in the cloud.

Spark

An open-source, distributed computing system for big data processing, known for its speed and ease of use in data analytics.

Hadoop

A framework for distributed storage and processing of large datasets across clusters of computers.