// Cloud Platform Engineer · FinOps

ANDREI-EMIL MUNTEAN

I build cloud platforms — and keep them accountable.
FinOps, cost allocation and data pipelines across AWS & Azure.

01 / ABOUT

Turning cloud chaos
into clarity

Portrait of Andrei-Emil Muntean

I'm Andrei — a cloud platform engineer based in Timișoara, Romania, with 4+ years of hands-on IT experience across networking, software testing, data engineering and cloud platforms. I care most about the point where engineering meets economics: making the cloud fast, transparent and affordable.

Today I'm part of Continental's central cloud infrastructure team as a Cloud Platform Engineer (FinOps) — responsible for consumption-based cost allocation and chargeback across the company's multi-account AWS and Azure estate, working with FOCUS-formatted cost data and the FinOps Foundation framework.

Before that I built an end-to-end AWS data pipeline for BMW at Cognizant Mobility with Terraform, Glue, Athena and QuickSight, and started out in carrier-grade IP networking at Nokia and Huawei. I hold an MSc in Data Engineering from Politehnica University of Timișoara, with applied machine-learning work including a GRU-based clinical prediction prototype trained on MIMIC-III.

0years in tech
0cloud platforms
0data & ML projects
0network certs
02 / EXPERIENCE

The journey
so far

Jul 2026 — Present

Cloud Platform Engineer (FinOps)

Continental Automotive Products · Central Cloud Platform — Timișoara, RO

  • Responsible for consumption-based cost allocation and chargeback: shared costs (savings plans, networking, central development) are distributed through custom allocation logic and handed off to finance for invoicing.
  • Member of the central cloud platform team that provisions cloud access and base infrastructure across the company's multi-account AWS & Azure estate.
  • Conducting a FinOps maturity self-assessment (FinOps Foundation framework) across Allocation, Architecting for Cloud, FinOps Tools & Services, Reporting & Analytics and Data Ingestion.
  • Working with FOCUS-formatted cost and usage data.
AWSAzureFinOpsFOCUSPython
Sep 2025 — Jun 2026

Junior Data Engineer

Cognizant Mobility Romania · BMW project — Timișoara, RO

  • Built an end-to-end AWS data pipeline (SharePoint → Lambda → S3 → Glue → Athena → QuickSight) that automated a previously manual monthly incident report.
  • Implemented ingestion via the Microsoft Graph API into Amazon S3 and developed AWS Glue jobs for automated transformation.
  • Implemented cross-account data replication with AWS Lambda across four AWS accounts and configured cross-account Athena and QuickSight access.
  • Provisioned infrastructure with Terraform and configured GitHub Actions CI/CD for deployment and as a quality gate.
  • Applied S3 partitioning to improve Athena query performance and reduce scan costs; wrote complex analytical SQL.
  • Built a Playwright + pytest end-to-end UI test suite for the SharePoint data source, handling Microsoft SSO/MFA through stored authentication state.
AWSTerraformGlueAthenaQuickSightGitHub Actions
Sep 2024 — Sep 2025

Junior Tester

Cognizant Mobility Romania — Timișoara, RO

  • Software testing role that preceded the move into data engineering within the same company.
TestingPlaywrightpytest
Oct 2022 — Aug 2024

Student Intern — IP Network

Nokia · part-time — Timișoara, RO

  • Worked on IP networking fundamentals, routing protocols (IS-IS) and MPLS; obtained the Nokia Routing Specialist 1 (NRS1) certification.
  • Contributed to a network donation project for universities: designed network configurations, implemented the solution and wrote the documentation.
IS-ISMPLSNRS1
Jul 2022 — Oct 2022

IP Network Academy

Huawei

  • Completed the networking academy and earned the HCIA-Datacom certification.
HCIA-Datacom
Mar 2022 — Jun 2022

Web Development Academy

The Access Group

  • Front-end web development training focused on JavaScript and React.
JavaScriptReact
// education

MSc — Data Engineering

Faculty of Electronics, Telecommunications and IT · Politehnica University of Timișoara
2024 — 2026

// education

BSc — Electronics, Telecom & IT

Faculty of Electronics, Telecommunications and IT · Politehnica University of Timișoara · taught in English
2020 — 2024

03 / PROJECTS

Selected
work

01

MedAI — Clinical Prediction Prototype

MSc dissertation (2026): GRU-based diagnostic prediction model trained on MIMIC-III (46,500 patients, PhysioNet credentialed access), plus tabular risk classifiers (XGBoost, Logistic Regression, Random Forest). Served through a Flask web prototype backed by Supabase, deployed on Railway.

PyTorchGRUXGBoostFlaskSupabase
02

Event Aggregator — Cloud Microservices

Microservice web app that scrapes and aggregates public events behind REST APIs with city & category filtering. Docker Compose + PostgreSQL locally, deployed to GCP with Cloud Run and Firestore.

GCPCloud RunDockerPostgreSQL
03

Common Crawl at Scale — PySpark

End-to-end Apache Spark pipeline (2025) converting Common Crawl WARC archives into optimized Parquet, with NLP clustering via TF-IDF + KMeans on Spark MLlib.

SparkParquetMLlib
04

HR Analytics — Machine Learning Workflow

Decision Tree classifier with 10-fold stratified cross-validation reaching 78.2% accuracy on an imbalanced dataset (2025). K-Means clustering (k=3, k=5) evaluated with the Davies–Bouldin index and Power BI dashboards for interpretation.

scikit-learnK-MeansPower BI
05

Medical Image Classification — CNN

CNN pipeline (2024) classifying breast ultrasound images (normal / benign / malignant) at 88% test accuracy, evaluated with precision, recall, F1 and confusion matrix, with cross-validation and Grad-CAM interpretability.

PyTorchCNNGrad-CAM
06

Real-Time Computer Vision — YOLOv8

Bachelor thesis (2024): custom-trained YOLOv8 model for real-time object, shape and color detection, deployed as an inference pipeline with OpenCV + Kivy.

YOLOv8OpenCVKivy
07

IoT Real-Time Data Platform

Live telemetry pipeline: MQTT → Node-RED → InfluxDB, enriched with a weather API for rule-based automation and monitored through Grafana dashboards.

MQTTNode-REDInfluxDBGrafana
04 / SKILLS

Stack &
capabilities

// finops

FinOps FrameworkMaturity AssessmentCost AllocationChargebackFOCUS Specification

// cloud

AWS S3AWS GlueAthenaLambdaQuickSightIAMCross-accountAzureGCPCloud RunFirestore

// data engineering

ETL pipelinesData modelingS3 partitioningParquetApache IcebergMicrosoft Graph API

// big data & streaming

Apache SparkHadoopBigQueryMQTTNode-REDInfluxDB

// machine learning

GRU / RNNCNNXGBoostRandom ForestLogistic RegressionClusteringCross-validationGrad-CAM

// infrastructure

TerraformGitHub ActionsDockerGitLinux

// programming

PythonpandasPySparkPyTorchscikit-learnSQLC++

// testing & backend

PlaywrightpytestFlaskFastAPISupabase

// visualization

QuickSightPower BIGrafana
Nokia Routing Specialist 1 (NRS1) Huawei HCIA-Datacom
05 / CONTACT

Let's build something
efficient

Open to conversations about cloud platforms, FinOps, data engineering and everything in between.

muntean.andrei_emil@outlook.com