Services

Data Engineering & Business Intelligence Services

Build scalable data platforms that unify your data, streamline ETL pipelines, and transform raw information into real-time data analytics.

Build Your Data Infrastructure
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70 %
of enterprise data goes unused
60 %
faster decision-making with real-time data
20 +
Years of Engineering Excellence
5 x
faster analytics with modern data platforms

Transform Data into
Actionable Business Insights

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Reliable Data Pipelines

Automating the flow of data from source to warehouse with $99.9\%$ uptime.

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Unified Truth

Eliminating data silos to create a single, authoritative source for all business metrics.

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Actionable Visualization

Transforming complex datasets into intuitive, interactive dashboards that anyone can understand.

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BI & Dashboards

Transform complex data into interactive BI dashboards and visual reports. Empower teams to monitor KPIs and make faster, data-driven decisions.

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Real-Time Analytics

Process and analyze data in real time to gain immediate insights. Enable faster responses to changing business conditions and opportunities.

Explore Data Engineering Solutions

Talk to a Data Engineering Expert

Trusted by Industry Leaders

Organizations across industries trust Techverx to build reliable data engineering and business intelligence solutions.

Our Specialized Data Capabilities

Scalable data platforms that transform data into actionable insights.

Data Warehousing & Lakes

Designing scalable architectures using Snowflake, BigQuery, or Databricks to store and manage petabytes of information efficiently.

ETL/ELT Pipeline Engineering

Building robust integration layers that extract, transform, and load data with tools like dbt and Airflow, ensuring high data quality and lineage.

Real-time Stream Processing

C. Real-time Stream Processing Implementing Kafka or Flink architectures for businesses that need to react to data in milliseconds, not days.

BI & Analytics Dashboards

Creating high-impact visualizations in Power BI, Tableau, or Looker that highlight KPIs and reveal hidden trends.

Data Governance & Security

Ensuring compliance with GDPR/CCPA through rigorous access controls, encryption, and data masking protocols.

Modern Data Architecture for Scalable Analytics

Build a unified data platform that collects, processes, and transforms data into actionable insights across your organization.

01. Data Sources

Collect data from multiple sources such as applications, databases, APIs, and third-party platforms.

02. Data Ingestion

Capture and move data through scalable pipelines using batch and real-time processing.

03. Data Processing

Clean, transform, and prepare raw data for analytics and reporting.

04. Data Storage

Store structured and unstructured data in modern data warehouses and lakes.

05. Analytics & BI

Turn processed data into insights through dashboards, reporting, and analytics tools.

Measure the Difference

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Faster Decision Making

Reduce reporting cycles from weeks to real-time, increasing operational agility.

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Cost Efficiency

Optimize cloud storage and compute costs, reducing data infrastructure spend by up to $30\%$

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Data Integrity

Eliminate manual errors and "Excel-hell" with automated, validated pipelines.

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Better Forecasting & Planning

Use reliable data and analytics to forecast trends, plan resources, and anticipate demand more accurately.

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Scalable Data Infrastructure

Build modern data platforms that grow with your business and support increasing data volumes.

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Democratized Access

Empower non-technical teams to answer their own questions through self-service BI.

Our Approach to Building AI Solutions

We follow a structured approach to design, develop, and deploy AI solutions that integrate seamlessly with your existing systems.

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01. Architecture Audit

We evaluate your current data sources, quality, and business requirements.

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02. Schema Design

Modeling the data for performance—choosing between Star, Snowflake, or Data Vault schemas.

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03. Pipeline Construction

Engineering the ingestion and transformation layers with a focus on observability.

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04. Dashboard Deployment

Designing the frontend visualization layer and training your team on self-service tools.

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05. Optimization & Monitoring

Continuously improve performance, reliability, and data quality.

Unlock the Full Potential of Your Data!

Data Engineering & Analytics Technology Stack

We leverage modern data platforms, analytics tools, and cloud technologies to build scalable and high-performance data ecosystems.



Awards, Recognition & Partnerships

We are proud of the recognition we have received demonstrating our industry leading practices and capabilities.

Gold Level Microsoft Partner
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Information Security Management System
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International Organization for Standardization
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AWS Partner Advanced Tier Services
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5.0 Stars BusinessFirms Verified
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Delivering Data Solutions That Drive Results

Discover how Techverx helps organizations build modern data platforms and transform data into actionable business insights.

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50%

Faster Team Engagement

99%

Uptime & System Reliability

05+

Real Time Workflow Automations Delivered
  • 6 Months
  • Dedicated Team

HeartBeat - Real Time Engagement and Monitoring Platform

Healthcare
Lifestyle
Fitness
Cardiology
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12M+

Customers served via digital innovation

#1

Rated digital money management app

100+

Successful migration from legacy Silverlite
  • 6 Months
  • Fixed Scope

BMO - Enabling Secure, Scalable Digital Banking Experiences for Modern Customers.

Banking
Web Development
Mobile Development
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Instant

Device pairing time (Down from 60s)

70%

Reduction in app crashes & failures

CI/CD

Introduction of automated deployment pipelines
  • Ongoing
  • Fixed Scope

Aroma Retail - Transforming Retail Experiences with Scent-Driven Customer Engagement

Retail
Web Development
Mobile Development
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400+

Users onboarded in first 60 days

13

Active microservices for modular scalability

99.9%

Real Time Workflow Automations Delivered
  • Partnership
  • Fixed Scope

Quure - Advancing Telehealth with Seamless, Patient-First Digital Care Solutions.

Health & Tech
Web Development
Mobile Development
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+70%

Platform Growth via audio interactivity

Real-Time

Whisper AI-powered speech-to-text conversion

100%

Content searchability & user retention boost
  • Ongoing
  • Dedicated Team

Edge Video - Powering Video Intelligence With AI-Driven Insights & Automation

Entertainment & Media
News
Web Development
Mobile Development
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40%

Faster platform load times

95%

Content & data accuracy rate

100%

Projected user growth via multilingual launch
  • 6 Months
  • Fixed Scope

DestiDime - Reimagining Travel Planning With Personalized, Data-Driven Experiences

Travel & Tourism
Web Development
Mobile Development
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92%

Accuracy in Predictive Maintenance Modeling

65%

Improvement in Operational Efficiency & Monitoring

24/7

Real-time Automated System Intelligence
  • 3 Months
  • Fixed Scope

Omniteq - Optimizing Operations Through Intelligent Automation & Enterprise Technology

Healthcare
Automotive
Web Development
Mobile Development

Extend Your Team with Data Experts

Partner with our AI experts to design, build, and deploy intelligent solutions that drive real business impact.

Schedule a Talent Discovery Call

Frequently asked Questions

The answers to your questions about data engineering and BI.

Get In Touch

Data engineering is the practice of building pipelines, warehouses, and infrastructure that collect, clean, and prepare data so it can be used for analytics, reporting, and machine learning.

Data engineering builds the pipelines and infrastructure that move and clean data. Business intelligence uses that data to create dashboards, reports, and insights for decision making.

Data engineering projects typically range from $30,000 for a focused pipeline build to $250,000 or more for a full enterprise data platform.

ETL stands for extract, transform, load, the process of pulling data from source systems, cleaning it, and loading it into a data warehouse where it can be analyzed.

Yes. Business intelligence consulting is a core part of the Data Engineering and BI service, covering dashboard design, KPI definition, and reporting infrastructure.

A data warehouse is a centralized system for storing structured data from multiple sources. Companies that need consistent, fast reporting across departments typically benefit from one.

A focused ETL pipeline typically takes 4 to 8 weeks. A full data platform with warehousing and BI dashboards usually takes 3 to 6 months.

Yes. Data quality and cleanup services identify inconsistencies and standardize data before it is used for analytics or AI.

Techverx works with modern data engineering frameworks and BI tools, selecting the right stack based on data volume, existing systems, and reporting needs.

In most cases, yes. Clean, well-structured data is the foundation AI models need to perform accurately, which is why data engineering often comes before AI development.