Senior Data Engineer at Bloomberg | Data & Machine Learning
Engineering Leader | Data Products, AI & Scientific Computing |
Ph.D. in Oceanography
About
Multidisciplinary technical leader with experience spanning
data engineering, machine learning, scientific computing,
financial market data, and large-scale operational
environments. I build data products and analytical systems that
turn complex, high-volume data into reliable workflows, decision-support
tools, and business value.
At Bloomberg
LP, I lead cross-functional initiatives across data
engineering, machine learning, data management, and product
development, supporting financial-market workflows across
energy, macroeconomics, fixed income, equities, and commodities. My work
combines technical depth with product thinking: understanding the
problem, designing scalable solutions, coordinating stakeholders, and
taking systems into production.
My career began in physics and physical oceanography, where I
developed expertise in time-series analysis, statistical
modeling, signal processing, remote sensing, numerical modeling, and
complex systems. I have since applied those skills to financial
markets, machine learning, data platforms, software engineering, and
business problems.
I am particularly interested in problems at the intersection of
science, data, technology, and human decision-making,
and in helping teams turn research and emerging technologies into
useful, production-grade systems.
Core expertise
- Technical leadership & data products:
Translating business and user needs into scalable data products,
analytical systems, and technical strategies.
- Data engineering: Distributed systems, ETL/ELT
pipelines, microservices, workflow orchestration, data quality, and
production infrastructure.
- Machine learning & AI: Anomaly detection,
predictive modeling, statistical learning, dimensionality reduction,
computer vision, and time-series analysis.
- Financial market data: Energy, macroeconomics,
fixed income, equities, commodities, and funds.
- Scientific computing: Signal processing, satellite
remote sensing, numerical modeling, geospatial data, and complex
systems.
- Leadership & collaboration: Cross-functional
execution, stakeholder management, mentoring, technical hiring,
teaching, and public speaking.
Selected experience
Bloomberg LP
São Paulo, SP, Brazil
2018–present
Energy
Physical Assets — Senior Data Management Professional / Data
Engineer
2026–present
Working at the intersection of energy data, data engineering, and
financial-market workflows, with responsibility for developing reliable
data capabilities and scalable solutions for physical-asset
information.
Macroeconomics
— Senior Data Management Professional / Data Engineer
2023–2026
- Reengineered the economic release calendar process
covering nearly 2,000 global indicators, replacing a highly manual
workflow with an integrated process for vendor annotation and
reconciliation, automated data validation, and task orchestration. The
resulting system eliminated approximately 280 hours of manual work
yearly while improving the timeliness and reliability of published
economic data.
- Automated critical inputs to fixed-income pricing
workflows by developing and deploying microservices for forward
calculations of Chile’s Unidad de Fomento (UF) and ANBIMA
inflation-assumption indicators. The solution removed manual calculation
steps and improved the timeliness and consistency of these data
products.
- Developed a Financial Conditions Indicator for
Brazil using principal component analysis and
dimensionality-reduction techniques. The indicator replicated the
methodology of the Central
Bank of Brazil and transformed multiple economic and
financial variables into a daily measure that supports macroeconomic
market monitoring.
- Contributed to the implementation and maintenance of
multiple ECAN (World Economic Analyzer) datasets, including
Brazil CPI, US housing and mortgages, India CPI, US CPI Core and
Supercore, and US PCE. Implemented the calculation of item-level
contributions throughout the underlying indicator hierarchies, helping
transform detailed economic datasets into structured analytical outputs
for one of Bloomberg Terminal’s most widely used functions.
- Bridged data engineering, analytics, and product
needs by working across technical and business stakeholders to
translate financial-data requirements into production workflows and data
products.
- Developed team capabilities by mentoring junior
analysts and data engineers, contributing to technical hiring, and
sharing engineering and analytical practices across the
organization.
Latin
America Data Analyst III / Senior Data Scientist
2018–2023
- Built and maintained more than 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.
- Improved the detection of data-quality issues in
fixed-income and company financials by developing and deploying
custom machine-learning models for anomaly detection, helping identify
unusual observations that could affect downstream financial data
products.
- Explored new data-product opportunities through applied
research, including a proof of concept for soy and corn
crop-yield forecasting that combined machine-learning and analytical
techniques with agricultural data to evaluate a potential new source of
financial-market insight.
- 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 knowledge across teams and
audiences through mentoring, one-on-one training, group
sessions, and public outreach on 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 and 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 on progressively greater responsibility for the
coordination and execution of race operations at the Formula 1 São Paulo Grand
Prix.
- Coordinated real-time communications among FIA officials,
race control, and local stakeholders during live race
operations, ensuring that critical information reached the right people
quickly enough to support decisions in a high-pressure environment.
- Coordinated race-weekend procedures, including
driver briefings, race-control activities, and official ceremonies,
aligning multiple operational teams under strict schedules and formal
procedures.
- Led and trained teams of up to four staff members and
volunteers, establishing clear responsibilities and maintaining
operational alignment during time-critical events.
- Developed strong capabilities in situational awareness,
communication, operational decision-making, and execution under
pressure—skills that have complemented my technical leadership
throughout my career.
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.
- Developed experience managing people, information, and
operational dependencies under intense time constraints,
complementing my technical and analytical background.
Research experience
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, contributing measurements and analysis to improve
understanding of coastal dynamics.
- Analyzed complex biogeochemical datasets for the
Biota/FAPESP
Araçá project using data mining and time-series analysis,
generating insights into 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 in marine environments.
- 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. Researcher / Graduate
Student
- 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, enabling
more effective analysis of oceanographic features.
- 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, improving
communication between graduate students and faculty.
- 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 a series of 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
- Maintain and develop a widely used open-source Python
library for continuous wavelet analysis, extending
functionality, improving software reliability, and supporting an
international community of users and contributors.
- Apply expertise in signal processing, time-series analysis,
scientific computing, and Python software development to
maintain a research-oriented project used beyond my original academic
work.
- The project has accumulated 346 GitHub stars, 126 forks, and
approximately 300 daily downloads.
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
Selected professional
education
Technical skills
Programming: Python, SQL, MATLAB, Octave
Machine learning & analytics: Scikit-learn,
TensorFlow, PyTorch, statistical modeling, time-series analysis, anomaly
detection, signal processing
Data platforms & engineering: Kafka, Trino,
Docker, distributed systems, microservices, ETL/ELT, data pipelines
Engineering practices: Agile, Scrum, TDD, software
design, code quality
Domains: Financial markets, macroeconomics, fixed
income, equities, commodities, energy, physical oceanography, remote
sensing, scientific computing
Languages: Portuguese (native), English (fluent),
French, Spanish, and 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 Latinamerican
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.