At GeoPITS, data engineering focuses on building reliable data foundations that enable accurate reporting, analytics, and operational decision-making. This includes designing and maintaining data pipelines that collect, process, and move data efficiently across systems while ensuring consistency, quality, and performance. GeoPITS supports end-to-end data engineering workflows covering ETL and ELT processes, data modeling, API-based data integration, and data warehousing. By structuring data for scale and reliability, We helps organizations ensure that data is accessible, well-governed, and ready for downstream analytics and business use.
Why Data Engineering matters
Data engineers set up the systems that automatically pull together all your scattered information, fix inconsistencies, and structure it in a way that makes it easy for your team to find what they need. This means your decision-makers can spend their time finding insights instead of hunting down the data, organizing it or fixing errors. In today's world, businesses that can quickly access and understand their data have a real advantage over those that can't. Good data engineering is what makes the difference between drowning in information and actually using it to grow your business and serve your customers better.
What you will get in our Data Engineering services
Data Ingestion & Integration
- Bring data from any source into a unified data platform.
- Batch and streaming ingestion
- Source-to-cloud integrations (ERP, CRM, SaaS, custom apps)
- Change Data Capture (CDC)
- Real-time event capture using Kafka / Event Hub / Pub/Sub
- Automated ingestion frameworks
ETL & ELT Pipeline Development
- Transform raw data into trusted datasets
- ADF, Glue, Databricks, Dataflow, Fabric Data Pipelines
- Low-code & code-based data processing
- Python, PySpark, SQL processing frameworks
- Error handling, logging, and automated retries
- Metadata-driven transformations
Lakehouse & Modern Data Platform Architecture
- Modernize your datasets to support BI, AI, machine learning, and real-time analytics.
- Delta Lake / Iceberg-based lakehouse setup
- Cloud storage design (S3, ADLS, GCS)
- Medallion architecture (Bronze, Silver, Gold)
- Stream-batch unification
- Lakehouse optimization & governance
Data Modeling & Warehouse Design
- Dimensional modeling (Facts & Dimensions)
- Semantic modeling for BI tools
- Data vault modeling
- Star & snowflake schema designs
Data Quality & Governance
- Data profiling and validation
- Quality rules, anomaly detection, reconciliation
- Data lineage and cataloging
- Governance using Purview, Glue Data Catalog, Unity Catalog
- Audit, role-based access, and compliance controls
Cloud Data Engineering
Whether you want to build cloud-native data platforms from the scratch or migrate your legacy systems to the cloud, GeoPITS experts have worked on all major cloud platforms and can assist with cloud database migration and engineering.
- AWS: Glue, Redshift, EMR, Kinesis, S3
- Azure: ADF, Synapse, Databricks, Event Hub, Fabric
- GCP: Dataflow, BigQuery, Dataproc, Pub/Sub
- Hybrid: Nutanix, On-prem + cloud integration
Real-Time & Streaming Data Engineering
- Streaming ETL
- Complex event processing
- Real-time dashboards for operations
- Fraud detection & anomaly insights
- IoT and sensor stream processing
Data Engineering Technologies We Specialize In
- Platforms: Databricks, AWS, Azure, GCP
- Ingestion: ADF, Glue, Dataflow, Kafka, Event Hub, Fivetran, DMS
- Processing: Databricks Spark, EMR, Synapse, Dataflow
- Storage: S3, ADLS, GCS
- Warehouse: Redshift, Synapse, BigQuery, Databricks SQL
- Catalog & Governance: Purview, Glue Catalog, Unity Catalog
- BI Tools: Power BI, Tableau, Looker
Why Choose GeoPITS for Data Engineering
Proven Technical Expertise
8 years of proven expertise across BI, Data Engineering, Databases & AI
Multi-platform Expertise
Full-stack expertise on databases, engineering, warehousing, BI and AI.
Cloud Platform Knowledge
Strong cloud knowledge across AWS, Azure, GCP, Nutanix and Databricks
Flexible plans
Flexible engagement models possible with dedicated BI developer, shared model or end to end scope based project delivery
Technical Clarity
Strong data modeling & semantic layer expertise to build the complete insights layer for your business
Why Businesses Choose GeoPITS for Database Management Services?
GeoPITS is an ISO certified database company which combines deep database expertise, proactive monitoring, and secure, scalable cost effective operations that empowers our clients to focus on growth while we take care of their data.
"We have enjoyed working with GeoPITS for 3 years and hope to continue working with them for a long time. Their expert team of dba's are professionals at what they do, always responsive, and an important part of our devops team."
GeoPITS team was very professional, knowledgeable and incredibly quick to respond with great communication throughout this project from beginning to end. It was a pleasure to work with them and I will definitely reach out again for any requirements.
Our engagement experience with Geopits has been great. They delivered on our expectations on time with great emphasis on quality. Will definitely work with you guys again :)
We had a great opportunity to receive Database support from GeoPits tech support team. The service we received from the team for MS-SQL database support was beyond excellence coupled with high quality and quick turnaround time for all the issues. Geopits tech team are very friendly, knowledgeable and professional and you will not be disappointed availing their services.
I have been very pleased with GeoPITs’ level of expertise, responsiveness, thoroughness in managing our MS SQL Server database environment in Azure, and their ability to work effectively to resolve problems. They quickly became a valuable extension of our IT team and were our trusted resource for SQL Server-related responsibilities.
The insights and contributions GeoPITS has made to me and my company are something I highly value. They were genuinely interested in understanding our business and helping us in our SQL Server needs. They have fully understood the intent behind our needs and offered suggestions to handle things.
Zealitech Solutions had an opportunity to work with Geo Platinum IT Services (Geopits) for the last two years. The experience was awesome as we got a wonderful partner to work with. They have proven to be a very reliable partner with highest integrity in getting things done. We are utterly satisfied with Geopits and their decision making as their approach to a problem is very practical and solution oriented.
We run all kinds of database services that vow your success!!
Frequently Asked Questions
How do you ensure security and compliance in data pipelines?
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We ensure security and compliance through data encryption, role-based access controls, audit logging, regulatory compliance frameworks (GDPR, HIPAA), and automated security monitoring in all data pipelines.
Can you build cloud-based data engineering solutions?
Yes, we build scalable cloud-based data engineering solutions on AWS, Azure, and Google Cloud Platform with services like Snowflake, Redshift, BigQuery, and Databricks.
Which data sources can you integrate into my data platform?
Our team can integrate diverse data sources including structured data (SQL databases, Excel files), semi-structured data (JSON, XML, APIs), unstructured data (documents, images, videos), cloud storage (S3, Azure Blob), SaaS applications, IoT sensors, social media feeds, and legacy systems into unified data platforms.
What types of data pipelines do you build?
The data engineering team at GeoPITS specialise in batch processing pipelines, real-time streaming pipelines, ETL/ELT workflows, data integration pipelines, and designing cloud-native data architectures tailored to your business requirements.
How can data engineering help my business?
Data engineering transforms your raw data into organized, usable information that helps you make smarter business decisions, saves time through automation, and grows with your company without the hassle of manual data handling.