Data Engineering & Analytics – GIT Softwares Technologies

Unlock the Power of Data for Intelligent Decision-Making

We help organizations transform raw data into strategic insights through modern Data Engineering and Analytics solutions.
Our experts design scalable data pipelines, warehouses, and dashboards that enable real-time visibility, predictive analysis, and AI-driven decision support — across on-prem and multi-cloud environments.

Our Data Engineering & Analytics Service Portfolio

Data Strategy & Architecture

We design data ecosystems that are secure, future-ready, and aligned with your business goals.

Key Offerings:

Data assessment & roadmap creation
Data lake and warehouse architecture (on-prem or cloud)
Master Data Management (MDM) & governance
Data quality & lineage framework

Data Engineering & Pipeline Development

We build robust, automated data pipelines that capture, transform, and deliver data where it’s needed — clean, structured, and analysis-ready.

Capabilities:

ETL/ELT pipeline design (Airflow, Apache NiFi, AWS Glue, Azure Data Factory)
Streaming data integration (Kafka, Kinesis, Pub/Sub)
Batch and real-time ingestion from multiple sources (ERP, CRM, IoT, APIs)
Data transformation & validation (dbt, Spark, Pandas)

Data Warehousing & Cloud Modernization

Migrate legacy systems and on-premise databases to cloud data platforms for speed, scale, and cost efficiency.

Expertise Across:

Amazon Redshift, Snowflake, Google BigQuery, Azure Synapse
Oracle Autonomous Data Warehouse, PostgreSQL, MySQL
Schema optimization and query tuning
Backup, DR, and cost optimization

Business Intelligence (BI) & Visualization

Turn your data into stories. We design intuitive dashboards and analytics layers for every level of your organization.

Tools We Use:

Power BI, Tableau, Looker, Qlik Sense, Oracle BI
KPI dashboards, drill-down reports, and interactive analytics
Embedded BI in web and mobile applications
AI-augmented analytics (forecasting, what-if modeling)