Data Transformation

Build and manage a secure, governed, scalable data foundation with end-to-end data services and managed support.

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Modernize your data foundations to unlock competitive advantage

Data is the backbone of any AI or analytics initiative. Without the right data infrastructure, even the most advanced technology fails to deliver. We help organizations build scalable, trusted, and governed data environments that support both operational and analytical needs.

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Data architecture & engineering – Design and implement scalable data architectures that support reliable analytics, reporting, and AI use cases

Data lakes, warehouses, and pipelines – Build modern data platforms and pipelines that enable efficient storage, processing, and access to large volumes of data

System integration (ACE, ADF, Informatica, Synapse) – Integrate enterprise systems and data sources to ensure seamless data flow and real-time accessibility across platforms

Data quality & cleansing – Improve data accuracy, consistency, and completeness to ensure trusted inputs for reporting and AI models

Reporting & visualization (Power BI) – Deliver intuitive dashboards and reports that provide clear, actionable insights for business and operational teams

Managed data services – Provide ongoing support and optimization to ensure data platforms remain reliable, performant, and aligned with evolving business needs

Data governance & security – Establish frameworks, controls, and policies to protect data, ensure compliance, and maintain long-term data integrity

Strategy

Define the right data architecture and governance model for your organization.

Data Maturity Assessment

Evaluate your current data landscape, identify gaps, and build a prioritized roadmap for improving data quality, access, and governance.

Data Architecture Design

Design a future-state data architecture — cloud, on-premise, or hybrid — that scales with your business and supports analytics and AI.

Data Governance Framework

Establish the policies, roles, and processes needed to manage data as a trusted, compliant, and strategic business asset.

Delivery

Implement modern data infrastructure and migration programs.

Cloud Data Migration

Migrate legacy data warehouses and on-premise systems to cloud platforms such as Azure, AWS, or Google Cloud with minimal disruption.

Data Integration & Pipelines

Build reliable data pipelines that connect and harmonize data across systems, eliminating silos and enabling unified analytics.

Data Quality Implementation

Deploy automated data quality checks, cleansing routines, and monitoring to ensure your data remains accurate and fit for purpose.

Operate

Sustain and continuously improve your data environment over time.

Data Platform Management

Ongoing management and optimization of your data platform to ensure performance, reliability, and cost efficiency at scale.

Data Catalogue & Lineage

Maintain a governed data catalogue with full lineage tracking so teams can discover, understand, and trust the data they use.

Compliance & Reporting

Ensure ongoing compliance with data regulations through automated reporting, audit trails, and continuous governance monitoring.

TRUSTED BY LEADING OPERATORS. ALIGNED WITH LEADING PLATFORMS AND NUCLEAR INDUSTRY PARTNERS

CNA
Microsoft
ANS
Google Cloud
Data Bricks
AWS
Bruce Power
Alectra Utilities
Nuclear Innovation Institute
Canadian Nuclear Lab
Deloitte
Superior Propane
PWC
Hydro One Brampton
Power Stream
Horizon Utilities
ocni
OPG

Meet Our Team

XCIS AI is a team of experienced AI consultants, data engineers, and domain specialists with deep expertise in nuclear, energy, and critical infrastructure.

Adam Gustin

Adam Gustin

Full Stack Developer

Anurag Pedditi

Anurag Pedditi

Data Integration Lead

Arvind Pandey

Arvind Pandey

Integration Specialist

Charissa Wong

Charissa Wong

Data Engineer

Chidera Bisong

Chidera Bisong

PowerBI Admin

Hamza Ali

Hamza Ali

Full Stack Developer

Manuel Ting

Manuel Ting

Principal Data Consultant

Matthew Fung

Matthew Fung

Data Engineer

Oomer Syed

Oomer Syed

Data Engineer

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