Building data and machine-learning systems that turn complex,
high-volume data into actionable decisions and better
products.
Senior Data Engineer at Bloomberg | Machine Learning & Scientific
Computing | Financial Data Products | Ph.D. in Oceanography
At a glance
8+ years
Financial data & engineering
30+
Production data workflows
2,000
Global macroeconomic indicators
280 hours
Manual effort eliminated
346+
GitHub stars
19 years
Formula 1 operations
About
I build data and machine-learning systems that turn complex,
high-volume data into reliable products and better
decisions.
I am a Senior Data Engineer at Bloomberg, where I work at the
intersection of data engineering, machine learning, financial
markets, and product development. My experience spans energy,
macroeconomics, fixed income, equities, and commodities, with a focus on
building production systems that make complex financial data more
useful, reliable, and accessible.
My career has followed a common thread: using quantitative
methods to make sense of complex systems. I started in physics,
moved into oceanography and scientific computing, and eventually applied
those skills to machine learning, data engineering, and financial
markets.
Today, I am particularly interested in problems where
science, data, technology, and human decision-making
intersect, especially when research-heavy or ambiguous problems
can be transformed into robust, scalable, production-grade systems.
Core expertise
- Data & product: Data products, data strategy,
workflow design, and translating user needs into production systems
- Financial data: Macroeconomics, fixed income,
equities, commodities, energy, and alternative data
- Machine learning & analytics: Statistical
modeling, anomaly detection, predictive modeling, dimensionality
reduction, and time-series analysis
- Data engineering: ETL/ELT, distributed systems,
microservices, data pipelines, APIs, and production infrastructure
- Leadership: Technical mentoring, cross-functional
collaboration, stakeholder management, and technical hiring
Experience
Bloomberg LP
São Paulo, SP, Brazil
2018–present
Energy
Physical Assets — Senior Data Management Professional / Data
Engineer
2026–present
- Design and implement straight-through-processing ETL
workflows for renewable-energy physical-asset data,
transforming structured data sources into production-ready financial
data products across Latin America.
- Work with external data vendors on complex data capture,
annotation, reconciliation, and quality-control processes to
improve the completeness and reliability of physical-asset
datasets.
Macroeconomics
— Senior Data Management Professional / Data Engineer
2023–2026
- Redesigned the economic release calendar workflow for ~2,000
global indicators, integrating vendor annotation,
reconciliation, automated validation, and task orchestration. Reduced
manual effort by 280 hours while improving data
timeliness and reliability.
- Developed and deployed containerized FastAPI
microservices supporting time-series forward calculations for
Chile’s Unidad de Fomento (UF) and ANBIMA inflation-assumption
indicators, automating critical inputs to fixed-income pricing workflows
and eliminating manual calculation steps.
- Developed a PCA-based Financial Conditions
Indicator, applying statistical modeling and dimensionality
reduction to replicate the methodology of the Central Bank of Brazil and
deliver daily market-monitoring indicators for macroeconomic
analysis.
- Mentored junior analysts and data engineers, contributed to
technical hiring, and supported team development across engineering and
analytics functions.
Latin
America Data Analyst III / Senior Data Scientist
2018–2023
- Improved the detection of data-quality issues in fixed-income and
company financials by developing and deploying custom
machine-learning models for anomaly detection, combining
statistical thresholds and decision trees to identify unusual
observations affecting downstream financial data products.
- Developed an automated pipeline aggregating NOAA Vegetation
Health Index (VHI) imagery using spatially area-weighted
averages to produce regional- and county-level time-series
datasets.
- Explored new data-product opportunities through applied research,
including a proof of concept for soybean and corn yield
forecasting combining machine-learning and analytical
techniques with agricultural data to evaluate potential sources of
financial-market insight.
- Built and maintained 30+ production data workflows and ETL
pipelines supporting global financial data products. These
systems processed millions of records daily and enabled
reliable, continuous delivery of data to Bloomberg clients.
- Supported data-driven journalism and business research by providing
analytical research for Bloomberg journalists and stakeholders,
including analysis of Brazilian investment funds and major donors to
political candidates.
- Expanded data-science capabilities across teams through mentoring,
one-on-one training, group sessions, and public outreach covering
programming, data analysis, and data science.
- Represented Bloomberg in educational and public-outreach
initiatives, helping clients and students understand practical
applications of data science and analytics.
nublia
São Paulo, SP, Brazil
2016–present
Independent
Data Science & Technical Consultant; Online Lecturer
Part-time, concurrent with other roles
- Designed and implemented ETL pipelines for large
datasets, transforming fragmented source data into reliable and
efficient analytical workflows for client projects.
- Applied machine learning to business problems for
Revi, a
marketing technology provider using WhatsApp, developing
customer-segmentation models and click-through-rate forecasting to
support product and growth initiatives.
- Designed and delivered data-science and analytics training
programs for cohorts of 20+ technical professionals in
collaboration with Faculdade Phorte,
translating technical concepts into practical learning experiences for
working professionals.
- Combined hands-on engineering with technical education, helping
organizations and professionals adopt data-science methods while
maintaining an active role in production-oriented data work.
São Paulo, SP, Brazil
2002–2021
Race
Secretary / Event Operations Coordinator; Deputy Race Secretary
Part-time, contractor, concurrent with other roles
- Progressed from Runner to Race Secretary over 19
years, taking progressively greater responsibility for race
operations at the São Paulo Grand Prix.
- Coordinated real-time communications between FIA
officials, race control, and local stakeholders during live race
operations.
- Led and trained teams of up to four staff and volunteers and
coordinated driver briefings, race-control activities, and official
ceremonies.
- Developed strong capabilities in situational awareness,
communication, operational decision-making, and execution under
pressure.
Rio
2016 Organizing Committee for the Olympic and Paralympic Games
Rio de Janeiro, Brazil
2016
- Led a team of 10 volunteers responsible for
competition information, establishing reliable processes for
distributing official information to athletes and officials during the
Olympic and Paralympic Games.
- Coordinated information across multiple stakeholder groups in a
complex international sporting environment, helping maintain accurate
and timely communication throughout competition.
- Managed people, information, and operational dependencies under
intense time constraints, complementing my technical and analytical
background.
Research
São Sebastião, SP, Brazil
2014–2016
Postdoctoral Research Fellow
- Collected and analyzed field observations for coastal-ocean research
projects, including the SIMCosta mooring-network
initiative.
- Analyzed complex biogeochemical datasets for the Biota/FAPESP Araçá project
using data mining and time-series analysis to investigate ecosystem
health and function in Araçá Bay.
- Designed and implemented a MySQL database for
storing, managing, and retrieving georeferenced research data, providing
a structured data foundation for multiple research initiatives.
- Developed coupled numerical models linking
hydrodynamic processes and phytoplankton growth to simulate ecosystem
dynamics and investigate interactions between physical and biological
processes.
- Taught and mentored undergraduate and graduate students in data
analysis and numerical modeling, translating computational and
quantitative methods into practical research skills.
- CAPES
Postdoctoral Fellow.
São Paulo, SP, Brazil
2009–2014
Ph.D. Candidate / Researcher
- Investigated global ocean dynamics using satellite
altimetry, analyzing sea-level anomalies and mesoscale
variability with statistical analysis and signal-processing
techniques.
- Developed a two-dimensional signal-denoising method based on
discrete wavelet transforms (DWT) to separate relevant
propagating signals from noise in satellite altimetry data.
- Developed a geometric feature-detection algorithm for
mesoscale eddies, distinguishing their signatures from seasonal
variability and westward-propagating planetary waves in satellite
observations.
- Shared computational methods through short Python
programming courses, helping graduate and undergraduate
students develop practical programming and data-analysis skills.
- Co-organized a scientific symposium, facilitating collaboration and
knowledge exchange among oceanography researchers.
- Served as a student representative and mentored students through
teaching and thesis co-advising, supporting their development in
quantitative analysis and scientific computing.
- CAPES and CNPq Fellow.
Saint George, Bermuda
2008–2009
Trainee / Research Scholar
- Investigated the influence of large-scale planetary waves on
chlorophyll concentration in the North Atlantic, combining
satellite imagery and in situ time series to identify
relationships between physical ocean dynamics and biological
variability.
- Presented research findings through scientific talks, developing
experience communicating technical results to research audiences.
- Participated in scientific cruises aboard the R/V Atlantic
Explorer and R/V Oceanus as part of the
Oceanic Flux Program (OFP) and Bermuda Atlantic Time-series Study
(BATS), contributing to oceanographic observations and data
collection.
- NF–POGO Fellow through the Nippon
Foundation–Partnership for Observation of the Global
Ocean program.
Open source
Contributor / Maintainer
2011–present
- I maintain and develop pycwt, an
open-source Python library for continuous wavelet analysis. The project
applies my background in signal processing, time-series
analysis, scientific computing, and Python software development
to a research-oriented open-source project used by an international
community of users and contributors.
- Open-source impact: 346+ GitHub stars · 126 forks ·
~300 downloads/day
Education
Ph.D. in Oceanography
Instituto Oceanográfico,
Universidade de São Paulo, Brazil
2009–2014
Thesis: Mesoscale
eddies, Rossby waves and the spectra from altimetry data. (in
Portuguese)
Postgraduate
Certificate in Ocean Observatories
Bermuda Institute of
Ocean Sciences, Bermuda
2008–2009
Thesis: Nutrient pumping induced by first mode baroclinic Rossby
waves in the Sargasso Sea.
M.Sc. in Physical
Oceanography
Instituto Oceanográfico,
Universidade de São Paulo, Brazil
2006–2008
Thesis: Spectral
variability distribution of baroclinic Rossby waves in the Atlantic
Ocean and particularly in the region of the Abrolhos
archipelago. (in Portuguese)
B.Sc. in Physics
Instituto de Física, Universidade de São Paulo
2000–2004
Professional development
Technical skills
- Programming & data: Python, SQL, MATLAB, NumPy,
pandas
- Machine learning & analytics: scikit-learn,
PyTorch, TensorFlow, statistical modeling, time-series analysis, anomaly
detection, signal processing, dimensionality reduction
- Data engineering: ETL/ELT, data pipelines,
distributed systems, Kafka, Trino, microservices, REST APIs,
FastAPI
- Infrastructure & development: Docker, TDD,
software design, code quality, Agile/Scrum
- Domains: Financial markets, macroeconomics, fixed
income, equities, commodities, energy, physical oceanography, remote
sensing, scientific computing
- Languages: Portuguese (native), English (fluent),
French, Spanish, German (conversational)
Publications
Krieger, S., K. Nimit, S. Sarker, W. E. Panassa, and L. A. Krug.
2025. Impact and insights from the NF–POGO Centre of Excellence in
Observational Oceanography: A trainee perspective.
Oceanography 38(1): 26–28. doi:10.5670/oceanog.2025.128.
Mentorship and volunteering: Leadership and
education initiatives with the Latin American
Leadership Academy, Trevor Platt Science
Foundation, and Cidadão Pró-Mundo.
Rowing: National and continental rowing umpire
accredited by the Confederação Brasileira de Remo (CBR)
and Confederación Sudamericana de Remo (CSAR).
Hobbies: Woodworking, cycling, guitar, and natural
fermentation.