Mystrika
Datakrypton designs scalable data ecosystems using platforms like Snowflake, Databricks, Azure, AWS, GCP, BigQuery, and dbt. The agency helps organizations build reliable pipelines, improve data quality, and make data ready for ML models and AI agents. It serves healthcare, finance, retail, and technology industries.
Datakrypton is a data engineering and analytics consultancy founded in 2023, headquartered in Toronto, Canada. The agency designs scalable data ecosystems using leading platforms such as Snowflake, Databricks, Azure, AWS, GCP, BigQuery, and dbt. It helps organizations build reliable pipelines, improve data quality, create governed data models, modernize legacy reporting, and prepare data for ML models, AI agents, analytics, and enterprise automation.
The agency has under 49 employees, a minimum project budget of $1,000 to $10,000, and an average hourly rate of $50. Founded in 2023, Datakrypton focuses on delivering scalable solutions built for long-term growth, automation, compliance, and smarter decision-making.
Datakrypton offers a comprehensive range of services including data engineering consulting, data governance strategy, data quality frameworks, master data management, data observability, cloud analytics, semantic layer design, Power BI reports and dashboards, KPI reporting, self-service analytics, AI data strategy, and semantic layer for AI agents. The agency follows governance frameworks aligned with the DAMA Handbook and DAMA-DMBOK principles.
The agency serves finance, healthcare, retail, and technology industries where accuracy, security, compliance, scalability, and performance are critical. Client types include startups, small businesses, medium businesses, and enterprise or corporate organizations.
A verified DesignRush review from a client at Roasted Metric highlighted Datakrypton's strong technical expertise in modern data platforms, cloud architecture, data governance, and business intelligence. The reviewer noted clear and proactive communication, on-schedule milestone delivery, and the agency's ability to translate complex technical concepts into practical business outcomes. The project was completed within budget and improved data quality, reporting accuracy, and overall decision-making.
The profile references a project titled "Enterprise Data Engineering & AI Consulting" for a marketing and advertising company with 50-99 employees. No additional portfolio details or case studies are provided on the profile.
Services
- Data Engineering Consulting
- Data Governance Strategy
- Data Quality Frameworks
- Cloud Analytics
- Power BI Reports and Dashboards
- AI Data Strategy
Industries Served
Team Size
Pros
- Strong technical expertise in modern data platforms and cloud architecture
- Clear and proactive communication with on-schedule delivery
- Ability to translate complex technical concepts into practical business outcomes