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

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

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

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.

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.

LEADERSHIP & TALENT

DAVID PETERKA

CO-FOUNDER & CTO

YINGBIN ZHANG

PRINCIPAL ARCHITECT

JEFFREY YU

PRINCIPAL ENGINEER

VIKET TRIVEDI

SENIOR ARCHITECT

JAMES PANCOAST

SENIOR ARCHITECT