MendiCorp Services Inc. helps organizations simplify complex data estates, modernize legacy analytics platforms, automate manual reporting, strengthen governance, and turn fragmented data into trusted business decisions.
Most businesses have data. Few have clarity. Here's what that looks like in practice.
MendiCorp works best where reporting, cloud platforms, governance, or manual processes have become harder to manage than they should be.
Organizations moving beyond spreadsheets and ad-hoc reporting that need a reliable analytics foundation without building a large internal data team.
Teams that need stronger governance, controlled access, auditability, repeatable deployment, and secure analytics across multiple business areas.
Internal teams dealing with report sprawl, slow models, fragmented platforms, migration decisions, capacity questions, or governance gaps.
Leaders who need trusted KPIs, less manual reporting, clearer costs and margins, and better visibility into performance.
An engagement can begin with a reporting health check, architecture review, cloud-cost assessment, dashboard cleanup, automation opportunity, migration assessment, or focused governance review. We can identify the highest-value next step before you commit to a larger program.
Practical, outcome-focused engagements designed for businesses that need results — not just reports.
Assess the current data estate, simplify architecture, and design a practical modernization path across Microsoft Fabric, Azure, Databricks, and Snowflake.
Identify over-provisioned or legacy analytics workloads, compare architecture options, and right-size compute so platform spend matches actual business demand.
Rationalize duplicate and slow reports, standardize KPIs and semantic models, and move teams toward a governed, maintainable reporting ecosystem.
Replace spreadsheet-heavy and repetitive workflows with reliable pipelines, notebooks, orchestration, validation, and automated refresh processes.
Establish workspace standards, access models, service-principal strategy, sensitivity controls, deployment patterns, lineage, and governance that can scale safely.
Design catalog, schema, ownership, permissions, lineage, and governance patterns for Databricks environments that have grown without a consistent control model.
Plan and execute migrations such as Tableau to Power BI, legacy SQL to modern cloud platforms, or Synapse workloads to Fabric — with governance built in from the start.
Get a clear view of what to keep, what to modernize, what to automate, and what not to build. We translate technical options into a prioritized business roadmap.
A surprising number of organizations are still paying for architectures designed for an earlier generation of analytics. The opportunity is not to migrate for the sake of migration — it is to simplify the estate, remove duplication, automate work, and right-size the platform around what the business actually needs.
Map compute, storage, pipelines, licensing, refresh patterns, duplicated reports, and manual support effort — not just the cloud invoice.
For suitable workloads, moving from heavily provisioned legacy patterns to a right-sized Fabric or modern lakehouse design can materially reduce total platform cost.
We model the target architecture and expected operating cost before recommending migration. Savings depend on workload, capacity, storage, licensing, and usage — not marketing claims.
Selected work from Mohit Mendi's professional career across government, healthcare, regulated retail, medical education, and enterprise environments. These examples demonstrate the experience behind MendiCorp and should not be read as a list of MendiCorp clients.
Leading Microsoft Fabric implementation, medallion architecture, workspace and deployment governance, cross-divisional data engineering, Synapse migration assessment, Databricks Unity Catalog work, report-sprawl reduction, performance modernization, and automation of manual reporting processes.
Architected an enterprise Microsoft Fabric Lakehouse using Bronze, Silver, and Gold layers. Built ingestion and transformation patterns with Dataflows Gen2 and PySpark, standardized data into Delta tables, implemented quality and schema-evolution controls, and established workspace, lineage, RLS, and Dev→Test→Prod governance.
Engineered a semantic-model strategy to consolidate fragmented Tableau data sources into governed Power BI models. Implemented RLS, workspace governance, incremental refresh, aggregation patterns, and reusable parameterization to make reporting cycles easier to deploy and maintain.
Modernized enterprise reporting for an Ontario Crown corporation using Azure data-platform patterns, Power BI, Databricks, SQL, KPI frameworks, and workflow automation. Supported compliance, supply chain, retail-performance, and operational reporting while improving data integrity and reducing manual effort.
Built audience-centric analytics for one of Canada's premier theatre producers. Delivered dashboards tracking ticket sales, audience demographics, show performance, and marketing ROI — giving leadership the visibility to make better decisions on pricing, promotions, and seasonal scheduling. Provided forecasting support for high-stakes production planning decisions.
MendiCorp Services Inc. is a Toronto-based data and analytics consultancy focused on helping organizations modernize data platforms, simplify reporting, strengthen governance, automate repetitive work, and improve the economics of analytics.
The practice is led by Mohit Mendi, a Senior Data Engineering Specialist with 7+ years of experience across municipal government, healthcare, regulated retail, medical education, entertainment, and enterprise technology.
His current work includes Microsoft Fabric implementation and governance, cross-divisional data engineering, Synapse migration assessment, Databricks Unity Catalog governance, report-sprawl reduction, performance modernization, and automation of manual reporting processes.
The approach is intentionally practical: understand the business problem first, simplify the architecture, build governance into the design, and avoid expensive technology for technology's sake.
View Professional Background →No long contracts. No confusing proposals. Just a conversation that leads to clarity.
We spend 15–30 minutes understanding your business, your data challenges, and what "better" looks like for you.
We review your current reports, data sources, and workflows to identify what's causing the most friction — and what to fix first.
We build what you need — whether that's a single dashboard, an automated report, or a full data strategy — and make sure you can use it.
Tell us what is slow, manual, expensive, fragmented, or difficult to trust. We can help determine whether the problem is reporting, architecture, governance, automation, platform cost, or a combination of them. The first conversation is free.
We'll get back to you within one business day.
Thanks for reaching out. Mohit will be in touch within one business day.