Data Engineering

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

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Transforming raw data into reliable, 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.

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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

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Data Migration

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

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Data Integration & Warehousing

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

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Data Governance & Security

Establish robust controls, compliance, and policies to protect and manage data as a strategic asset and ensure trust.

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Data Pipeline Development

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

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Data Modeling

Ensure optimal structuring of data for both current needs and future growth, enabling faster insights and effective machine learning.

Our Approach

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Data Ingestion

 Efficiently capturing structured and unstructured data from diverse sources in real time.
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Data Transformation

Converting raw data into clean, consistent, and analytics-ready formats.
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Data Serving

Delivering processed data reliably to the right systems and teams, on demand.
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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

Insights

Bagging vs Boosting

Blog8 mins read

Bagging vs Boosting in Machine Learning

Microservices with Python A Path to Scalable Systems

Blog12 mins read

Building Scalable and Secure Python Microservices

Spark Architecture

Blog12 mins read

Spark Architecture - Everything You Need to Know

Ready to Engineer Your Data Future?