Data Engineering
Build a strong, scalable, and secure data foundation for the future.

Transforming raw data into reliable, scalable business solutions.
Data Engineering services empower businesses to make confident, data-driven decisions by designing modern data infrastructures that are scalable, secure, and aligned with the business goals. At WAC, we enable organizations to transform scattered, siloed data into a structured ecosystem that’s analytics-ready, secure, and scalable. From architecting future-ready data pipelines to implementing seamless cloud warehousing, we ensure your data is accessible, accurate, and actionable across teams, tools, and timelines.


Data Engineering in Action
$86.9 B
is the projected size of the data engineering market by 2027, growing from $18.2 billion in 2022.
43.2%
is the share of the analytics market driven by data engineering by 2027, up from 29.8% in 2022.
181 ZB
is the projected volume of data created, copied, and consumed worldwide by 2025.
Core Data Engineering Services

Data Migration
Ensure secure, efficient data migration for upgrades, cloud moves, and transformations, minimizing downtime, loss, and operational disruption.

Data Integration & Warehousing
Centralize fragmented data into unified repositories, delivering complete, accessible insights that empower smarter, faster business decisions.

Data Governance & Security
We are committed to ensuring top-notch functionality, security, and quality through the most credible app testing services.

Data Pipeline Development
Automated data pipelines ensure consistent data flow from source systems to analytical platforms, enabling real-time insights and reducing operational overhead.

Data Modeling
Ensure optimal structuring of data for both current needs and future growth, enabling faster insights and effective machine learning.
Our Approach
Data Ingestion
Data Transformation
Data Serving


Business Impact & Tangible Benefits
Unlock business efficiency, agility, and growth with a reliable and insight-ready data infrastructure.
Improve Data Access
Ensure fast, reliable access to high-quality data across the organization.
Break Down Silos
Unify data across departments to enable seamless collaboration and strategy alignment.
Ensure Data Compliance
Mitigate risks by maintaining industry standards and regulatory requirements.
Enable Smart Decisions
Power advanced analytics and real-time insights with trusted, well-structured data.
Our Data Engineering Tech Stack
Data Migration
- AWS Database Migration Service
- Azure Data Factory
- Google Cloud Data Transfer
- Talend
- Informatica PowerCenter
Data Integration & Warehousing
- Snowflake
- Amazon Redshift
- Google BigQuery
- Microsoft Azure Synapse
- PostgreSQL
- Apache Spark
- dbt
- Fivetran
- Stitch Data
Data Governance & Security
- AWS Lake Formation
- Microsoft Purview
- Apache Atlas
- DataHub
Data Pipeline Development
- Apache Airflow
- Apache Kafka
- AWS Step Functions
- Azure Data Factory
- Google Cloud Dataflow
- dbt
- Apache NiFi
- Prefect
Case Studies
Insight


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