Digital Services

Your data,
working
for you

We design and implement modern data platforms that enable organizations to transform data into actionable insights and make decisions that add real value

Your data already holds the answers,
we help you find them

The data journey

Where are you today?

We work with organizations at every stage of data maturity. Select your level to see exactly what we can build together.

Assessment & Diagnosis

  • Data source mapping and current flow assessment
  • Database infrastructure assessment
  • Data landscape map with platform recommendations and technology roadmap

🔧 Initial Data Infrastructure

  • SQL Server / Snowflake / SAP HANA setup
  • 3-layer architecture: Raw / Staging / Consumption
  • First ETL/ELT pipelines with SSIS, ADF or SnowPipes
  • Backup policies and disaster recovery plans

High Availability from Day One

  • AlwaysOn or Log Shipping for critical databases
  • Clustering for high-demand environments
  • Automated alerts and SLA definition

Who needs this level?

  • Organizations starting their data strategy
  • Companies with fragmented or siloed infrastructure
  • Companies without a centralized data warehouse
  • Teams that need to go from zero to operational quickly

Migration & Modernization

  • On-premises → cloud migration (SQL Server → Snowflake)
  • SAP HANA version upgrades and cloud integration
  • Legacy pipeline refactoring: SSIS → ADF / Airflow
  • Planned migrations with validation and rollback

Consolidated Data Warehouse

  • Data Warehouse and Data Mart design by domain: sales, finance, operations
  • DBT for versioned, tested and documented transformations
  • Data quality controls and anomaly alerts in staging

Centralized Business Intelligence

  • Power BI or SSRS deployment as a centralized service
  • Tabular semantic models with SSAS
  • A single source of truth: one version of KPIs

Who needs this level?

  • Companies with technical debt in their current DW
  • Organizations with inconsistent or low-performing data
  • Teams managing multiple isolated data silos
  • Companies seeking a single reliable source of truth

Advanced Performance Tuning

  • Snowflake: clustering keys, pruning and warehouse sizing
  • SQL Server & Oracle: index tuning and execution plan analysis
  • SAP HANA: calculation view optimization with HANA Studio
  • Automated proactive monitoring with PowerShell and Python

Data DevOps

  • CI/CD with GitHub Actions / Azure DevOps for DBT
  • Dev / QA / production environment management
  • Automated releases and regression testing
  • Schema version control and controlled deployments

Advanced Cloud Architecture

  • Landing Zone design on AWS and Azure
  • Serverless function integration with AWS Lambda
  • Multicloud strategies and migration with minimal risk

Who needs this level?

  • Production platforms with below-expected performance
  • Data teams without established CI/CD practices
  • Organizations seeking faster delivery cycles
  • Companies looking to consolidate their cloud environments efficiently

Modern Data Architectures

  • Data Mesh: domains, data products and self-service infrastructure
  • Data Lakehouse with Starburst Galaxy and Snowflake
  • Cross-cloud federation with Starburst Galaxy
  • Near real-time processing with Snowflake Streams & Tasks

Advanced Analytics & Self-Service

  • ThoughtSpot Everywhere: embedded analytics and natural language search (NLQ)
  • Advanced semantic models for governed analytical consumption
  • Self-service analytics enablement for business teams

Enterprise Governance & Security

  • Active data catalog with end-to-end lineage
  • Row-level security and column masking
  • GDPR / HIPAA compliance: masking and auditing
  • Data Contracts and automated quality SLAs with DBT

Who needs this level?

  • Organizations seeking next-generation data architectures
  • Companies requiring solid, auditable governance at scale
  • Teams wanting to enable self-service analytics across the organization
  • Companies looking to turn data into a real strategic asset

Not sure which level you're at?

We offer a free assessment to analyze your current data infrastructure and recommend the right path forward.

Request free assessment

What we do

Our services

01

Data Strategy & Planning

How much does it cost to build without a blueprint? We save you months of rework by defining the right strategy to transform data into business value.

  • Data architecture tailored to your current Stack (Data Platform and Cloud)
  • Data and Artificial Intelligence Strategy
  • Roadmap prioritized by business impact
  • Tool selection without vendor lock-in
  • Data Governance Frameworks. Data operating model
  • Tool Selection and Technology Architecture
Clear, actionable innovation processes. Know exactly what to build, in what order, and why.
02

Data Platform Implementation

We build and implement modern data platforms and analytical solutions.

  • Data Warehouse and Lakehouse on Snowflake or Databricks
  • Data Migration and Modernization
  • Data Pipeline Development
  • ETL / ELT Frameworks
  • BI and analytics: Power BI, ThoughtSpot, Executive Dashboards
  • Artificial Intelligence and Advanced Analytics
A scalable, production-ready platform that supports analytics and artificial intelligence.
03

Adoption, Support & Optimization

Ensuring long-term success and maximizing ROI, helping organizations get the most value from their data initiatives.

  • Proactive support: we detect problems before they impact
  • Internal team training for real autonomy
  • Cloud cost optimization and query performance
  • Data governance in operation: not just on paper
A scalable, production-ready platform that supports analytics and artificial intelligence.
04

Staff Augmentation

We provide the specialized professionals your organization needs to fill specific gaps and integrate seamlessly into your team.

Specialized professionals integrated into your team, ready to deliver from day one.
Roles
Data Engineer
Spark, Python, SQL, dbt, Airflow, Delta Lake. Builds and maintains pipelines.
Analytics Engineer
dbt, advanced SQL, dimensional modeling. Bridge between DE and business analysts.
Data Architect
Platform design, stack decisions, Medallion architecture, governance.
MLOps Engineer
MLflow, Feature Store, Model Serving, CI/CD for ML models.
DataOps / Platform Engineer
Terraform, Kubernetes, CI/CD, pipeline monitoring, cost optimization.
Data Quality Engineer
Great Expectations, Soda, validation rules, data contracts.

Por Technology Stack

Expertise across all platforms

Cada plataforma tecnológica es una disciplina en sí misma. Nuestro equipo cuenta con certificaciones verificadas en cada stack con el que trabajamos.

Snowflake
  • Schema design: Raw / Staging / Core / Marts
  • Stored procedures, functions and materialized views
  • DBT: versioned transformations, testing and documentation
  • SnowPipes for continuous ingestion
  • DAG with Airflow + AWS Lambda
  • Streams and Tasks for real-time processing
  • Clustering keys, warehouse sizing
  • Query optimization and pruning
  • Zero-copy cloning for dev and QA
  • ThoughtSpot Everywhere: semantic modeling
  • Power BI connected to data marts
  • Self-service analytics enablement
SQL Server
  • SSIS: control flow, transformations and error handling
  • SSAS tabular model design and administration
  • SSRS: parameterized reports and KPIs
  • Power BI: modeling, DAX and publishing
  • AlwaysOn availability groups and failover clusters
  • Transactional and snapshot replication
  • Automation with PowerShell
  • Index tuning and execution plan analysis
  • Version upgrades with planned rollback
  • On-premises → cloud migration strategies
SAP HANA
  • OLAP cubes with SAP HANA Studio
  • DataMart design, modeling and optimization
  • Stored procedures, functions and analytic views
  • Advanced troubleshooting of calculation models
  • SAP version-to-version migrations
  • BW/4HANA and BW on HANA integration
  • SAP HANA → Snowflake architecture
  • Azure Data Factory with SAP sources
  • Hybrid on-premises and cloud flows
Databricks
  • Medallion architecture + AI Functions and Delta Live Tables
  • DBT Core on Databricks
  • Unity Catalog, materialized views and stored procedures in Databricks SQL
  • Automatic schema evolution with Delta Lake
  • Auto Loader, Databricks Workflows and Structured Streaming
  • Integration with Apache Kafka and Event Hubs for event streaming
  • Airflow + Databricks operator
  • Delta Live Tables in streaming mode for low-latency pipelines
  • Genie: natural language analytics on your data (AI/BI)
  • Power BI + Partner Connect, Tableau, Looker, ThoughtSpot
  • Databricks Dashboards: native visualizations on Databricks SQL
  • Semantic layer with Unity Catalog + metrics for self-service analytics
AWS
  • Pipelines with AWS Lambda and Airflow (MWAA)
  • Python serverless functions for transformations
  • Event-driven architectures for data ingestion
  • Landing Zone design: security, IAM, logging
  • Data Mesh patterns
  • Roadmaps and TCO/ROI analysis
Azure
  • Azure Data Factory: ingestion and transformation
  • Starburst Galaxy for federated queries
  • Power BI integrated with real-time data
  • DBT with Azure DevOps / GitHub Actions
  • Dev / QA / production environments
  • CI/CD for data pipelines
  • Landing Zone design
  • Technology roadmaps
  • TCO/ROI analysis for migrations

By service type

What we build together

Comprehensive services from raw data ingestion to executive dashboards: one trusted team for your entire data lifecycle

Data Engineering
Design and build of ETL/ELT pipelines, data warehouses, Data Marts and batch/near real-time ingestion architectures
SSISADFAirflowDBTSnowPipesLakeflow JobsLakeflow Spark Declarative Pipelines
Database Administration
Full lifecycle management: high availability, migrations, performance tuning and disaster recovery
SQL ServerOracleSAP HANASnowflake
Cloud Architecture
Platform design on AWS and Azure, Landing Zones, Data Lakehouse, Data Mesh and multicloud migration strategies
AWSAzureStarburst GalaxyData MeshLambda
Analytics & BI
Governed self-service analytics: from robust semantic models to executive dashboards and natural language search
Power BIThoughtSpotSSAS TabularSSRS
Data Quality & Governance
Integrity controls, automated DBT testing, data lineage and governance frameworks to keep your data reliable and auditable
DBT TestsData ContractsLineageGDPR/HIPAA
Consulting & Modernization
Architecture assessments, technology roadmaps, team training and guidance during the transition to modern cloud platforms
AssessmentRoadmapCI/CDGitHub ActionsTraining

Profiles we serve

Who we help

Trabajamos con diferentes perfiles, cada uno con propuestas y modelos de compromiso personalizados.

Startups & Scale-ups in the cloud
Solid platform from day one, without over-engineering. Modern stack and best practices from the start
  • Raw data architecture from scratch: Raw / Staging / Consumption
  • Modern stack: Snowflake/Databricks + DBT + Starburst + Airflow
  • ETL/ELT pipelines with ADF | SnowPipes | Lakeflow Spark
  • Data quality and automated testing with DBT or Starburst Galaxy
  • CI/CD with GitHub Actions or Azure DevOps
  • Executive dashboards with Power BI or ThoughtSpot
Companies with legacy SQL Server
Years of data in SQL Server and ready to modernize without losing it. We migrate, optimize and integrate with the cloud in a controlled, risk-free manner
  • Gradual migration: no major disruptions
  • SQL Server → Azure SQL/Snowflake/Databricks
  • SSIS → ADF / Airflow refactoring / Lakeflow Spark
  • Index optimization and execution plan analysis
  • SSRS, SSAS Tabular and centralized Power BI
  • Governance and lineage over the migrated DW
Mid-market companies with SAP
Operations run on SAP HANA and you need to integrate with modern analytics tools or migrate to the cloud. Advanced SAP BI BW certification
  • SAP HANA ↔ Snowflake / Azure integration
  • ETL on SAP HANA with SSIS/ADF/SnowPipes/SAP Data Services (BODS)
  • Procedures/table functions/analytical views development and performance optimization
  • SAP migration and upgrade to BW/4HANA
  • Hybrid on-premises and cloud flows with SAP HANA Smart Data Integration (SDI)
  • ThoughtSpot or Power BI on SAP data
  • GDPR/HIPAA compliance on SAP data
Cross-profile capabilities
Regardless of stack or profile, these services apply to any client
  • DBT Tests and Data Contracts for data integrity
  • End-to-end data lineage
  • GDPR / HIPAA compliance
  • Landing Zones on AWS and Azure
  • Data Mesh and Data Lakehouse
  • Starburst Galaxy multicloud
  • Power BI, ThoughtSpot, SSAS Tabular, SSRS
  • Architecture assessment and technology roadmap
  • CI/CD with GitHub Actions and Azure DevOps
  • Technical team training

Our value proposition

Why DataHeib?

Data quality as a priority, proactive monitoring, technical depth and constant agility

5+
Enterprise database platforms mastered
5
High-level technical certifications
E2E
Complete data lifecycle: architecture, engineering, analytics and governance
2
Leading clouds: AWS and Azure
Enterprise database expertise
SQL Server SAP HANA Oracle MySQL SAP Sybase
Modern cloud data engineering
Databricks Snowflake Azure AWS
End-to-End data lifecycle expertise
Architecture design Data Engineering Analytics platforms AI enablement Governance frameworks
Certified experts
Snowflake SnowPro Core Databricks Data Engineer Associate Microsoft Certified Trainer Oracle Certified Associate SAP BI BW Advanced Level
Business value focus
We design scalable, high-performance data architectures that support business growth
  • Faster decision-making
  • Operational efficiency
  • Scalable analytics platforms
  • Innovation driven by artificial intelligence

Contact

Ready for your data
to work harder?

Tell us your challenge and we'll propose
a concrete plan

Email
info@dataheib.com
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