# POWERED BY CLOUD

##### A MODERN DATA ENGINEERING STACK IS ESSENTIAL

In the ever-evolving landscape of the financial industry, the challenges of data engineering are abundant. The need for precision, security, **governance, and scalability has never been more critical. Financial** institutions are grappling with vast volumes of data, stringent regulatory requirements, and a demand for real-time insights.

##### YOUR TRUSTED DATA PARTNER

We specialize in data engineering solutions tailored to the exacting standards of the financial industry. With a strong focus on cloud solutions such as Azure and AWS, we offer expertise across a range of data engineering technology stacks.

WE EQUIP OUR CLIENTS WITH PROVEN TEAMS WITH YEARS OF EXPERIENCE WORKING TOGETHER, ENSURING STATE-OF-THE-ART DATA SOLUTIONS THAT DRIVE EFFICIENCY AND INNOVATION – FROM ARCHITECTURE, TO IMPLEMENTATION, TO MAINTENANCE & SUPPORT.

## EXPERIENCED TEAMS

#### PROVEN TALENT

CLOUD SOLUTIONS WITHOUT THE FLUFF

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THE JOURNEY:
DATA TRANSFORMATION
IN 5 STEPS

1. **PRECISE INDUSTRY NEEDS ASSESSMENT**  
   A meticulous evaluation of specific financial industry  
   requirements sets the foundation, aligning project objectives  
   with industry compliance standards.

2. **CLOUD-CENTRIC INFRASTRUCTURE DESIGN**  
   Strategically leverage a cloud provider to efficiently gather  
   financial data, constructing cloud infrastructure that complies  
   with industry-specific regulations.

3. **ACCURATE DATA PROCESSING STACK**  
   Ensure the precise and secure processing of financial data,  
   utilizing appropriate technology stacks to derive actionable  
   insights crucial for financial decision-making
   Implement compliant cloud-based storage and conduct  
   comprehensive data analysis to provide secure and insightful  
   solutions for informed financial decisions.

4. **OPTIMIZATION AND CONTINUOUS IMPROVEMENT**  
   Optimize for scalability and efficiency, ensuring seamless  
   deployment and iteratively enhancing the solution to meet  
   evolving financial industry requirements effectively.

5. **CLOUD SOLUTIONS WITHOUT THE FLUFF**

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## VALUE ADD

# DATA TRANSFORMATION EXCELLENCE

# WITH PETABLOC

### FINANCIAL EXPERTISE

Our team is comprised of experts well-versed in the intricate data demands of the financial world.

### DATA ENGINEERING PROWESS

With years of experience, we excel in designing, deploying, and managing data engineering solutions that drive value.

### CLOUD-CENTRIC APPROACH

Our approach is designed to harness the power of cloud computing, leveraging cutting-edge capabilities to unlock the full potential of your financial data.

### DATA GOVERNANCE

Ensuring data ownership and auditory access is well-managed is essential, and our solutions are built with this in mind.

### REAL-TIME INSIGHTS

In the fast-paced financial industry, timing is everything. We enable real-time data processing to facilitate quicker, more informed decisions.

### ROBUST SECURITY

Financial data demands the highest level of security. Our measures are designed to protect your data at every stage of its journey.

### REGULATORY COMPLIANCE

Compliance with industry regulations such as GLBA, SOX, FFIEC and OSFI is non-negotiable. We implement solutions that ensure your data is always in line with these standards.

CLOUD SOLUTIONS WITHOUT THE FLUFF

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## LENDINGCLUB

### SNOWFLAKE

Multi-year Snowflake project at  
LendingClub successfully transitioned from  
proof-of-concept to organization-wide  
usage. We established Snowflake accounts  
using Terraform, implemented SSO,  
enabling real-time access to data engineers  
and business analysts. Business teams no  
longer needed support from tech teams.

We deployed RB's Azure-based Enterprise  
Data Analytics Platform (EDAP) data lake,  
featuring robust CI/CD and Disaster  
Recovery capabilities. This empowered  
pharmaceutical data engineers to  
effectively evaluate medication  
performance. Our stack included Azure  
Synapse Warehouse, Azure Databricks,  
and Azure Analytics Services.

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## FORD MOTORS

### DATABRICKS

Databricks ingestion and transformation  
platform, consuming roughly 1TB of IoT  
data daily. Transformed data was injected  
into a BI platform, allowing business users  
to use a geo-enabled reporting front end to  
view status of self-driving cars around the  
United States within minutes of receiving  
data transmitted in field.

Using deep computer learning models  
against medical images, we created a ML  
pipeline to identify patients’ symptoms  
based on output of combined analysis of  
images, text, and voice. The solution  
utilized Python-based machine learning  
paired with large-scale cloud storage and  
an orchestrated compute platform.

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## LEADERSHIP & TALENT

### DAVID PETERKA

**CO-FOUNDER & CTO**

### YINGBIN ZHANG

**PRINCIPAL ARCHITECT**

### JEFFREY YU

**PRINCIPAL ENGINEER**

### VIKET TRIVEDI

**SENIOR ARCHITECT**

### JAMES PANCOAST

**SENIOR ARCHITECT**