Databricks
Bring your architecture together under one roof with Databricks. Streamline your data, analytics, and GenAI workloads. Our team can assist with platform implementation, migration, configuration, and optimization to unlock the power of data analytics, machine learning, and GenAI across your organization.
Databricks consulting
Our firm is excited to deliver the best unified data analytics platform to our clients.
Platform Strategy & Use Case Delivery
Technology stack evaluation & integration
Architecture design & workspace setup
Data privacy & governance implementation
Use case library creation & prioritization
Solution delivery & value capture
Databricks COE / user community creation
Data monetization strategy
Legacy Platform Transitions
Migration effort assessment
Dependency mapping & workload prioritization
Code refactoring
Migration testing & go-live readiness
Platform integration with other tools
Training & Support
Data engineering best practices
Gen AI upskilling and training
Solution development & upskilling
Data privacy & governance training
Unlock enteprise analytics capabilities.
Leverage our Databricks services to accelerate your digital transformation from data engineering to Gen AI.
Data Pipeline Development & Orchestration
Leverage our Databricks experts to transform your data from source to consumption-ready. Govern your datasets with Unity Catalog to ensure secure, organization-wide access.
BI & Dashboard Development
Centralize your dashboards on a single platform with Databricks AI/BI. Use AI/BI Genie to enable business teams to interact with their data using natural language.
Data Engineering Staff Augmentation
Lacking data engineering talent for your transformation project? Compass offers flexible staffing models to meet both your immediate and future needs.
ML & Gen AI Solution Development
Looking to harness the power of Gen AI? Our Databricks team can help you develop your proof of concept (POC) and scale it to production. With proven case studies, Compass has successfully helped clients deploy Gen AI across their organizations.
Our Databricks expertise. Your business solutions.
We take pride in earning numerous Databricks certifications.
Databricks Lakehouse Fundamentals Certified
Cloud Data Warehouse Migration (Verified) Certified
Databricks Data Engineer Associate Certified
Databricks Platform Administrator Certified
Databricks Azure Platform Architect Certified
Databricks Generative AI Fundamentals Certified
Case Studies
Our most recent projects
Data Engineering & Infrastructure
From Qlik to Databricks: A Governed Lakehouse for a Global Pharma
A global pharmaceutical company ran its enterprise reporting on roughly 70 Qlik dashboards spanning commercial, marketing, inventory, procurement, logistics, manufacturing, and quality. Underneath them sat more than 1,100 Qlik (QVS) source scripts pulling from QVD files and SQL systems including SAP, Salesforce, and IQVIA. The transformation logic was scattered across those scripts and QVDs with no governed single source of truth, which made reporting slow to change, hard to trust, and dependent on an aging Qlik stack. The client set out to modernize the platform underneath, not just the dashboards on top of it.
Data Engineering & Infrastructure
From Qlik to Databricks: A Governed Lakehouse for a Global Pharma
A global pharmaceutical company ran its enterprise reporting on roughly 70 Qlik dashboards spanning commercial, marketing, inventory, procurement, logistics, manufacturing, and quality. Underneath them sat more than 1,100 Qlik (QVS) source scripts pulling from QVD files and SQL systems including SAP, Salesforce, and IQVIA. The transformation logic was scattered across those scripts and QVDs with no governed single source of truth, which made reporting slow to change, hard to trust, and dependent on an aging Qlik stack. The client set out to modernize the platform underneath, not just the dashboards on top of it.
Machine Learning & Gen AI
Dynamic Pricing Optimization for Air Cargo
Our client, the cargo division of a major North American airline, was pricing tens of thousands of spot-rate quotes per week using static lookup tables that could not learn from outcomes, adapt to real-time demand, or differentiate between quotes with vastly different commercial profiles. The key pricing adjustment parameter was pulled from a fixed grid rather than computed from current market conditions, leaving significant revenue on the table with every departure.
Machine Learning & Gen AI
Dynamic Pricing Optimization for Air Cargo
Our client, the cargo division of a major North American airline, was pricing tens of thousands of spot-rate quotes per week using static lookup tables that could not learn from outcomes, adapt to real-time demand, or differentiate between quotes with vastly different commercial profiles. The key pricing adjustment parameter was pulled from a fixed grid rather than computed from current market conditions, leaving significant revenue on the table with every departure.
Data Engineering & Infrastructure
One Source of Truth: Salesforce Data Engineering on Databricks
A global software and technology company was struggling with fragmented, unreliable data spread across Salesforce and multiple product metric platforms.
Data Engineering & Infrastructure
One Source of Truth: Salesforce Data Engineering on Databricks
A global software and technology company was struggling with fragmented, unreliable data spread across Salesforce and multiple product metric platforms.
Data Engineering & Infrastructure
Designing an End-to-End Databricks Lakehouse for a North American Financial Institution
Compass designed the institution's end-to-end lakehouse on Databricks and Azure — one governed platform spanning ingestion, a Bronze-to-Semantic Medallion model, Unity Catalog governance, BI and regulatory consumption, and an AI/ML foundation. The blueprint puts the right Databricks capability at every layer — Lakeflow, Delta Lake, Unity Catalog, Databricks SQL, MLflow, and Mosaic AI — so the platform is examiner-ready, scales elastically, and is AI-native from day one.
Data Engineering & Infrastructure
Designing an End-to-End Databricks Lakehouse for a North American Financial Institution
Compass designed the institution's end-to-end lakehouse on Databricks and Azure — one governed platform spanning ingestion, a Bronze-to-Semantic Medallion model, Unity Catalog governance, BI and regulatory consumption, and an AI/ML foundation. The blueprint puts the right Databricks capability at every layer — Lakeflow, Delta Lake, Unity Catalog, Databricks SQL, MLflow, and Mosaic AI — so the platform is examiner-ready, scales elastically, and is AI-native from day one.
Machine Learning & Gen AI
Pouring Clarity into Sales: How ML Powers Category Management
A global beverage leader struggled to manage its vast and complex sales data across multiple markets and product lines. Without a centralized reporting system, identifying critical sales anomalies was cumbersome, leading to delayed insights and reactive decision-making. These inefficiencies resulted in stock imbalances, missed opportunities, and a slower response to market shifts.
Machine Learning & Gen AI
Pouring Clarity into Sales: How ML Powers Category Management
A global beverage leader struggled to manage its vast and complex sales data across multiple markets and product lines. Without a centralized reporting system, identifying critical sales anomalies was cumbersome, leading to delayed insights and reactive decision-making. These inefficiencies resulted in stock imbalances, missed opportunities, and a slower response to market shifts.
Your Databricks experts.
Meet your potential project team. Our Databricks specialists are here to support you at every step.
Biography
Pentcho is an expert in designing and delivering large-scale Data & AI solutions across industries from financial institutions to pharmaceutical compagnies. Most recently, he led RBC Borealis efforts to develop and scale their enterprise AI and GenAI platforms for the bank, including building one of Canada’s largest private GPU cluster.
With over 10 years of experience in software engineering and technical product leadership at Fortune 500 companies, Pentcho specializes in architecting complex systems and building enterprise AI/ML platforms. He is passionate about empowering leaders to make data-driven decisions and about demystifying technology for non-technical audiences.
Areas of Expertise
- Leading Software Delivery Teams
- Data Architecture Strategy
- Engineering& Systems Development
- Machine Learning and Data Science
- Natural Language Processing, Computer Vision, Reinforcement Leaning, Statistical Learning
Industries
- Data Engineering
- Alteryx
- Databricks
Certifications
- AWS Solutions Architect Associate
- Databricks Data Engineering Associate
- Collibra Data Analyst & Data Steward, Data Governance Lead
Pentcho Tchomakov
Chief Technology Officer & Partner
Biography
Tyler is a Data Engineer Consultant at Compass Analytics. Tyler brings experience from the pharmaceutical industry to Compass where he led data migration from on-premise to the AWS cloud. His work resulted in significant cost reductions in maintenance and manual work. He was also responsible for creating new outlier detection logic, maintaining manufacturing process parameters and developing dashboards.
Tyler has experience working in Databricks, Snowflake, AWS, Azure, Python, R, SQL, Alteryx, Dataiku, PowerBI, QlikSense, and Git. Tyler is based in Toronto, Ontario. He is a 2023 Master of Management Analytics graduate from McGill University. Outside of work, golf is an instrumental part of Tyler's life. He used to play with Team Ontario from 2014 to 2017, and is currently an instructor now for up and coming students.
Areas of Expertise
- Databricks Technical Lead
- Data Engineering & Infrastructure
Industries
- Data Engineering
- Alteryx
- Databricks
Certifications
- AWS - Certified Cloud Practitioner
- Alteryx - Designer Advanced Certification
- Alteryx - Designer Core Certification
- Alteryx - Server Administration
- Alteryx - Server Implementation
- Dataiku - Core Designer Certificate
- Databricks - Azure Databricks Platform Architect
- Databricks - Certified Data Engineer Associate
- Databricks - Generative AI Fundamentals
- Databricks - Partner Training - Cloud Data Warehouse Migration (Verified)
- Databricks - Platform Administrator
- Microsoft - AZ-900: Azure Fundamentals
Tyler Nagano
Tech Lead
Biography
Julien Hovan is a Data Engineer at Compass Analytics, leveraging his web development background and expertise in data science and machine learning to build scalable data solutions.
He holds a B.Sc. in Computational Biology from McGill and is currently pursuing a Master’s in Applied Data Science at the University of Michigan. Skilled in Python, SQL, and big data frameworks, he tackles complex data challenges with ease.
Outside of work, Julien is an avid chess player, enjoys skiing, stays up to date with AI research, and works on programming side projects.
Areas of Expertise
- Python
- Machine Learning/Deep Learning
- React.js
- SQL
Industries
- Data Engineering
- Alteryx
- Databricks
Certifications
Julien Hovan
AI Engineer
Biography
Antonia is a software engineer by training with practical experience designing data solutions and developing software across a range of industries. With experience in designing and optimizing large-scale data pipelines, orchestrating ETL workflows, and integrating AI capabilities, she has contributed to impactful projects across the pharmaceutical, transportation, and financial services sectors. Antonia is passionate about leveraging cloud technologies, data engineering, and machine learning to create innovative, business-critical solutions that drive measurable outcomes.
Outside of work, Antonia loves staying active through tennis or hikes and exploring her creative side by baking and perfecting homemade sourdough bread.
Areas of Expertise
- Data Pipeline Design & Optimization
- ETL Development & Orchestration
- Cloud Architecture
- AI Integrations
Industries
- Data Engineering
- Alteryx
- Databricks
Certifications
- AWS Certified Cloud Practitioner
Antonia Nistor
Data Engineer
Biography
Alex is a full-stack developer and pragmatic builder with a background in Computer Science. He combines backend development with applied knowledge of AI and automation to design practical, innovative software solutions.
He’s deeply interested in bringing those solutions to market and studying how technology shapes industries and economies. This blend of technical depth and strategic curiosity allows him to bridge the gap between engineering and business objectives.
Outside of work, you’ll probably find Alex watching a four-hour deep dive on the Bronze Age or reading through Pew Research and OECD reports.
Areas of Expertise
- Full stack development
- LLM powered applications
- Machine Learning
- Mobile Development
Industries
- Data Engineering
- Alteryx
- Databricks
Certifications
Alex Andrianavalontsalama
Full Stack Engineer
