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Data Engineering Services
Turn scattered data into Structured, Actionable Intelligence
Your business generates massive amounts of data every day. But without the right pipelines, that data stays locked in silos and PDFs. At Hexaview, we design modern data architectures that bring order, governance, and insight to your entire ecosystem.
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Full-Cycle Services
Services
Comprehensive Data Engineering for Modern Enterprises
1.
Data Architecture Design
Plan and implement scalable architectures that connect all enterprise data into a unified model.
2.
Pipeline Development
Automate ingestion, cleaning, and transformation from multiple sources, including PDFs and third-party APIs.
3.
Data Governance & Quality
Implement lineage, cataloguing, and validation frameworks that ensure complete traceability.
4.
Analytics & Visualization
Deliver real-time dashboards and insight layers that support faster, data-driven decisions.
5.
Ongoing Maintenance & Support
Monitor, optimize, and evolve your data systems to keep them compliant and high performing.
Trusted by companies around the globe
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How We Deliver
Solutions We Deliver
From building reliable pipelines to implementing enterprise data governance, our solutions make data trustworthy, accessible, and ready for insight.
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Data Lake & Warehouse Setup
We design and deploy centralized storage systems that collect, organize, and govern your enterprise data for analytics and compliance.
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Automated Data Pipelines
We build pipelines that ingest and normalize both structured and unstructured data with accuracy, speed, and traceability.
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Data Governance Frameworks
Our governance models define clear ownership, data lineage, and quality metrics, ensuring confidence in every report and decision.
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Real-Time Dashboards and Analytics
We create operational dashboards that visualize key metrics instantly, helping teams respond faster to changes in business performance.
Book a callEvery solution is built to increase visibility, maintain control, and enable confident, data-driven action.
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Capability Overview
From scattered to certain
Modern enterprises cannot afford to operate on unreliable data. Our Data Engineering Services bring together structured and unstructured sources into governed, high-performance systems that power analytics, automation, and decision-making.
Key Capabilities
Build data lakes, warehouses, and pipelines with built-in governance.
Automate ingestion from PDFs, APIs, and custodian feeds.
Establish data lineage, cataloguing, and access control for compliance.
Deliver real-time dashboards that improve visibility and reduce reporting time.
Technology Toolbox
Our modernization technology stack
We use tools and frameworks that simplify complex transformations and ensure smooth integration across your enterprise.
Data Storage and Processing
Snowflake
Databricks
Redshift
BigQuery
PostgreSQL
MongoDB
ETL and Data Pipelines
Apache Airflow
AWS Glue
Azure Data Factory
Kafka
Spark
Visualization and Analytics
Power BI
Tableau
Looker
QuickSight
Data Governance and Security
Collibra
Alation
DataHub
Great Expectations
Custom Audit Frameworks
Automation and Infrastructure
Docker
Terraform
Jenkins
GitLab CI
All components are configured under strict security and compliance standards with version control and access management.
Case Study
Accelerating insights for a wealth management firm
A US-based wealth management company relied on manual data processing from custodian feeds and PDF statements. Insights took weeks, slowing compliance and decision-making. Hexaview implemented automated ingestion pipelines, built a governed data lake, and delivered real-time dashboards that made reporting four times faster.
Key Actions
Automated extraction and transformation from unstructured sources.
Built governed pipelines with data lineage and access controls.
Created real-time dashboards for operations and compliance.
Delivered continuous monitoring and optimization under SLA.
Key Metrics
4x
Faster Insights
35%
cost reduction
100%
Audit-Ready
12 Months
Under 12 months ROI
Got a complex product that you need to migrate, redesign or architect to AI first or Cloud first environment. Or need to architect your data foundation to move set to go AI first in your regulated environment
