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Fix verb tenses and add quantified achievements

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- Convert Forterra bullets to past tense (role ended May 2026)
- Add scale/cost metrics: 500K files/day, ~1 PB S3, $10-15K/mo archival savings
- Name concrete data consumers (safety, platform, integration, devops, project)
- Reframe Edgybees GIS bullet: GDAL/NumPy replacing ESRI, days to ~12h
- Ignore TRP-DF.md working notes

Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
This commit is contained in:
Jean-Michel Tremblay 2026-07-13 15:52:09 -04:00
parent 1de1ef9893
commit 9e4148a526
2 changed files with 9 additions and 8 deletions
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3
.gitignore vendored
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@ -1,4 +1,5 @@
*.aux
*.log
*.pdf
trash
trash
TRP-DF.md

14
examples/resume/experience.tex
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@ -32,17 +32,17 @@
{Dec. 2021 - May 2026} % Date(s)
{
\begin{cvitems} % Description(s) of tasks/responsibilities
\item {Lead design and development of cloud-native data infrastructure powering autonomous vehicle telemetry and operational analytics}
\item {Architect and implement Python microservices on AWS Lambda and ECS, processing large-scale S3 event-triggered data streams}
\item {Deploy and manage Apache Airflow on AWS GovCloud, orchestrating pipelines that decode proprietary robotics formats into analytics-ready datasets}
\item {Led design and development of cloud-native data infrastructure powering autonomous vehicle telemetry and operational analytics}
\item {Architected and implemented Python microservices on AWS Lambda and ECS, ingesting up to 500,000 files/day into a ~1 PB S3 data lake; automated Glacier/Deep Archive tiering cutting storage costs \$10--15K/month}
\item {Deployed and managed Apache Airflow on AWS GovCloud, orchestrating pipelines that decode proprietary robotics formats into analytics-ready datasets}
% \item {Design and optimize PostgreSQL RDS databases, including complex schema, queries, materialized views, and reporting pipelines for engineering, compliance, and executive teams}
\item {Design and optimize PostgreSQL databases, queries, materialized views, and reporting pipelines for engineering, compliance, and executives}
\item {Designed and optimized PostgreSQL databases, queries, materialized views, and reporting pipelines for safety, platform, integration, devops, and project teams}
% \item {Own Terraform infrastructure-as-code deployments covering cloud networking (transit gateways, VPNs), IAM policies, serverless, container workloads, and CI/CD pipelines}
\item {Own Terraform infrastructure-as-code deployments, including cloud networking, IAM, serverless, container workloads, and CI/CD pipelines}
\item {Owned Terraform infrastructure-as-code deployments, including cloud networking, IAM, serverless, container workloads, and CI/CD pipelines}
% \item {Build and maintain end-to-end data pipelines supporting safety, regulatory, and business reporting across multiple internal systems}
% \item {Integrate corporate APIs (Microsoft Graph, SharePoint, Slack) for authentication, automated reporting, and operational notifications}
% \item {Collaborate cross-functionally to uncover operational data challenges, refine requirements, and shape backend systems that directly support engineering and business goals}
\item {Provide technical leadership in project planning, architecture, and estimation; mentor junior engineers and collaborate cross-functionally to shape backend systems supporting business goals}
\item {Provided technical leadership in project planning, architecture, and estimation; mentored junior engineers and collaborated cross-functionally to shape backend systems supporting business goals}
\end{cvitems}
}
@ -56,7 +56,7 @@
\begin{cvitems} % Description(s) of tasks/responsibilities
\item {Led complex field deployments of Edgybees real-time video georegistration platform at customer sites}
\item {Integrated customer hardware, networks, maps and telemetry streams in air-gapped Kubernetes environments}
\item {Designed and delivered Python-based GIS backend services, including raster tiling pipelines and tile reprojection tools, eliminating reliance on external GIS servers and improving performance, portability and hardware footprint}
\item {Replaced proprietary ESRI/ArcGIS with GDAL/NumPy pipelines, cutting state-scale terrain processing from days to ~12 hours on consumer hardware and eliminating external GIS servers and vendors}
\item {Developed in-house expertise on MISB 0601 video telemetry standards to troubleshoot live video georegistration bugs at customer sites}
\item {Served as primary technical liaison during customer onboarding, providing hands-on support for deployment, configuration, and training}
\item {Delivered high-stakes technical demos to government and defense stakeholders, securing operational adoption}