Backend software engineer · Python & cloud

Making complex work run reliably.

I build backend systems that turn manual, risk-sensitive workflows into dependable software.

With nearly four years in financial technology, I work across APIs, data integrations, automation, and the operational details that keep services trustworthy in production.

Explore selected work ↓Contact me ↗
SYSTEMS / 01BUILT FOR RELIABILITY
LP
INPUT → PROCESS → TRUSTPYTHON · AWS
6 hrs
saved per analyst, per business day
35+
data sources brought into one reporting workflow
3
business-critical systems highlighted below
Selected work · BTG Pactual

Software with measurable impact.

A few examples of internal platforms and automation built for teams working with high-stakes financial processes.

CASE 01 / AUTOMATIONAsset custody transfers

Replacing a manual transfer workflow

Built an end-to-end platform for asset custody transfer requests, automating intake, validations, integrations, and final reporting across connected systems.

OutcomeSaved six hours per analyst per business day and reduced manual operational risk.
Engineering focusAsynchronous processing, retries, idempotency, data consistency, and failure handling.
PYTHON · FASTAPI · REACT · POSTGRESQL · AWS · DOCKER · KUBERNETES
CASE 02 / CREDITProposal evaluation

Bringing credit reviews into one structured flow

Developed an internal platform for relationship managers to submit and assess credit proposals, enriching requests with internal data and centralizing validations and review.

OutcomeReduced manual work by about two hours per day and improved consistency in proposal evaluation.
Product focusMade a fragmented, email-and-spreadsheet process easier to follow and operate.
PYTHON · FASTAPI · REACT · POSTGRESQL · AWS
CASE 03 / RISK DATARegulatory reporting

Turning 35+ data sources into usable risk reports

Consolidated information from more than 35 sources into a reporting workflow for non-financial risk, with business-rule validation for regulatory reporting.

OutcomeSaved eight hours per analyst across ten business days each month.
Engineering focusReliable data consolidation, validation, and repeatable reporting.
PYTHON · SQL · AMAZON ATHENA · AWS
How I work

Reliability is a product feature.

Good engineering makes the happy path work. Reliable engineering makes the hard days manageable.

I like taking a process that is difficult to operate and making it easier to reason about, safer to run, and clearer for the people who depend on it.

01

Start with the workflow

Understand the users, the exceptions, and what a successful outcome means before choosing the implementation.

02

Design for failure

Use validation, retries, idempotency, and observability to make system behavior easier to trust and diagnose.

03

Own the result

Connect technical decisions to business impact and communicate clearly with engineering and business partners.

A little about me

Analytical by training. Practical by choice.

I’m a backend software engineer with a degree in Applied Mathematics from UNICAMP. My professional experience includes building internal platforms and automation for financial operations at BTG Pactual.

I enjoy backend engineering, distributed systems, and the details that help software stay dependable in production. I’m comfortable working from a business problem through design, implementation, deployment, and ongoing improvement.

I’ve also mentored early-career developers and worked with colleagues across technical and business teams.

PythonFastAPIREST APIsPostgreSQLAWSLambda · SQS · SNSDockerKubernetesReactSQL · AthenaPlaywright
Contact

Let’s make work flow better.

Open to conversations about backend engineering, automation, and building reliable software.

lucas172948@gmail.comLinkedIn ↗
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