Bruno Volpato

Datadog

Senior Software Engineer • Jan, 2024 —

Technical Leadership: Contributed to the Query Execution team (involved in Query Planning and Connectors) to deliver a unified query experience across dozens of use cases at Datadog.

Core Contributor: Enhanced the product in a wide range of areas: grammar/parsers, cost-based optimization and execution - significantly improving the platform’s robustness and correctness guarantees.

Reliability Focus: Managed on-call and operational efforts, standardizing deployments and establishing quality standards with end-to-end tests and golden queries, enhancing operational confidence and agility, greatly improving team’s confidence to “move fast” while keeping the “break things” part limited.

Key Technologies: Golang, Java, DataFusion, Trino, Apache Calcite, Substrait, Kubernetes, gRPC

Google

Software Engineer, Tech Lead • Aug, 2022 — Jan, 2024

Data Analytics: Contributed to Google Cloud’s Dataflow platform, a data processing system focused on streaming, and the open-source project Apache Beam (unified programming model to define and execute data processing pipelines), maintaining hundreds of pipelines to move huge amounts of data between a large variety of systems.

Technical Leadership: Led Dataflow Platform team, a team of 5-6 engineers, providing mentorship and guidance while maintaining productivity as an individual contributor. Expanded Dataflow capabilities to handle dozens of new use cases and flexibility through dynamic templates.

End-to-end Improvements: Implemented significant enhancements to increase security, service reliability and performance. Moved workloads to minimal Docker base images (Distroless), automated processes to reduce operational cost and participated in 24/7 on-call rotations, providing support in several critical incidents.

Automation and Tech Debt Reduction: Created automated playbooks to minimize support toil, considerably reduced technical debt, and increased the contribution velocity for the open-source Dataflow Templates project by over 3x.

(Key Technologies: Java, Python, C++, Apache Beam, Kafka, Docker, Dataflow, Pub/Sub, Bazel)

TOTVS Labs

Senior Backend Engineer • Sept, 2015 — Jul, 2022

Big Data Platform Development: Developed a data platform and components for high-volume, scalable streaming pipelines. Utilized NoSQL databases, search engines, and streaming systems to power machine learning-driven consumption engines.

Architectural Leadership: Headed architectural decisions and execution, providing mentorship to the Backend Engineering team, increasing the output considerably.

Performance Optimization: Enhanced application performance through advanced JVM and garbage collection tuning techniques and application profiling. Pushed JVM limits by creating an engine to compile dynamic user configurations into bytecode using ASM and ByteBuddy.

(Key Technologies: Java, Python, Kafka, Elasticsearch, Couchbase, Dropwizard, Docker, Data Lakes)

TOTVS

Senior Software / R&D Engineer • Mar, 2009 — Aug, 2015

Enterprise Software Development: Contributed to large-scale enterprise software by developing core components and frameworks, including a data integration layer supporting major global manufacturing companies.

Project Design: Designed application integration pipelines utilizing various integration patterns, ensuring real-time performance and high availability.

Tool Creation: Developed internal tools that enhanced productivity, streamlined the development process, and improved software quality. These tools included search engines for source code/database schemas and white box code validators.

(Key technologies: Java, Elasticsearch, Lucene, Spring, EJB, SQL, Oracle, Progress, Flex)

North Carolina State University

Master of Computer Science

• GPA 4.0/4.0

North Carolina State University

Bachelor of Science, Computer Science

• Honors - Summa Cumme Laude (GPA 4.0/4.0)

Languages

Java, Golang, Python, JavaScript/TypeScript, C++, Rust

Data

SQL, Postgres, Trino, Data Lakehouse (Iceberg), Apache Calcite, Substrait, BigQuery, Spanner, Elasticsearch, Redis, Couchbase, Hive, Prometheus, Grafana

Processing

Apache Beam/Dataflow, DataFusion, Kafka, Spark, Flink, Pub/Sub, Camel, ActiveMQ

Cloud

Kubernetes, Docker, Packer, Terraform, Jenkins, Kibana, Prometheus, Datadog, Grafana, Google Cloud Platform (Storage, Dataflow, BigQuery, Compute, Stackdriver)

Java / JVM ecosystem

Spring, Jersey, Dropwizard, JPA, JAX-RS, AspectJ, Nashorn, Jackson, Fastjson, JVM Tuning, GC Profiling, Velocity, Maven

Improving Deep Neural Networks

deeplearning.ai (Coursera) • Jul, 2018

Neural Networks and Deep Learning

deeplearning.ai (Coursera) • Jun, 2018

Bitcoin and Cryptocurrency Technologies

Princeton University (Coursera) • Apr, 2017

Oracle Certified Expert, Java EE 6 EJB Developer

Oracle Corporation • May, 2015

Oracle Certified Expert, Java EE 6 Web Component Developer

Oracle Corporation • Mar, 2014

Oracle Certified Professional, Java Programmer

Oracle Corporation • Apr, 2011