11.08.2026 aktualisiert

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Data Engineer · AI Engineer · Automation · dbt · data architectures

Berlin, Deutschland
Weltweit
PhD Researcher in Data & AI | State Examination
Berlin, Deutschland
Weltweit
PhD Researcher in Data & AI | State Examination

Profilanlagen

CV_Khoa_Do_freelance.pdf

Über mich

Data Engineer and AI Engineer with 8+ years of experience designing production-grade data pipelines/ architectures, ML workflows, and analytics platforms. Focused on core engineering principles based on experience in various industries, including banking, healthcare, telecoms & consumer products.

Skills

DagsterGenAILLMAzure DatabricksdbtRedshiftGCPChatGPTApache AirflowAmazon Web ServicesMicrosoft AzureCloud ComputingDateninfrastrukturETLData TransformationDatenqualitätData WarehousingRelationale DatenbankenGitHubR (Programmiersprache)Data IntelligencePythonPostgreSQLVisualisierungMicrosoft Power BITensorFlowSQLSalesforce TableauJupyter NotebookHigh Performance ComputingPyTorchLarge Language ModelsSnowflakeApache SparkGenerative AIKerasGitScikit-learnGoogle Cloud FunctionsGoogle BigqueryApache KafkaRestful ApisLooker AnalyticsDaten-PipelineDocker
Data Engineering:
  • Workflow Orchestration: Apache Airflow, Dagster, Astronomer Cosmos, Cloud Composer
  • Transformation and Modeling: ETL/ELT pipeline design, dbt, Data modeling & data architecture, Analytics Engineering
  • Distributed and Stream Processing: Kafka, Apache Spark, PySpark, High-Performance Computing (HPC)
  • Integration, Infrastructure: Fivetran, Terraform
  • Architecture: Data lakehouse, data mesh, data vault, star/snowflake schema, data quality management & governance
  • Databases and APIs: PostgreSQL, MySQL, Relational database design, REST API, Postman
  • DevOps : Git / version control, CI/CD, Docker, Vercel
  • Platforms / Data Warehouses: Google Cloud Platform (GCP), Amazon Web Services (AWS), Microsoft Azure, AWS Redshift, Bigquery, Snowflake, Databricks
Programming and Query Languages:
Python, R, Scala, Object-Oriented Programming (OOP), SQL, Linux, shell scripting

LLM and GenAI:
  • Prompt Engineering: LLM application design & prompt engineering, Prompt frameworks & iterative prompt evaluation (output quality, consistency, failuremode identification)
  • Frameworks and Retrieval: LangChain, LangGraph, RetrievalAugmented Generation (RAG), Guardrails & safety filters, Production monitoring, Pinecone (vector database)
  • Document Processing: Natural Language Processing (NLP), Optical Character Recognition (OCR)
  • Coding Tools: Claude Code, Codex, Gemini

Machine Learning:
  • Libraries: TensorFlow, PyTorch, Keras, Scikitlearn, numpy, pandas, matplotlib, seaborn, statsmodels, XGBoost
  • Deep Learning: Temporal Convolutional Networks, Gated Recurrent Units, Attention-Transformer models
  • Model evaluation: AUROC, AUPRC, PPV, recall, calibration, F1-Score
  • Model explainability: Feature importance, Shapley values
  • Statistics and Experimentation: Exploratory Data Analysis (EDA), Hypothesis testing (Ttest, Chisquare, odds ratio, correlation matrix), Jupyter Notebook, Google Colab
  • Applied ML: Biosignal Analysis, disease prediction, time-series anomaly detection
Data Visualization and BI:
  • Practices: Reporting & dashboard development, business intelligence & KPI development, Data Storytelling
  • Dashboard Tools: Looker Studio, Tableau, Power BI, Grafana

Erfahrung

Berufserfahrungmehr als 10 Jahre
Freelancer seit2019

Sprachen

DeutschMutterspracheEnglischverhandlungssicherFranzösischgutSpanischverhandlungssicher

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