Jason T.

I have several years of experience, using multiple programming languages and frameworks, in both academia and industry, in statistical modeling, probabilistic programming, classical machine learning and application of deep learning in several domains. The last several years I have been primarily ad cloud and data architect and data engineer and AI engineer. I have extensive experience in data modeling, pipeline development, data compliance, and worked with several database technologies (relational, NoSQL, graph, Hadoop and Spark), as well as CI/CD, API development, and architecting and development with multi-cloud computing platforms (Microsoft Azure, AWS, and GCP). I have deep experience in Databricks, and am a certified data engineer professional. 

I have worked in various fields such as, statistical genetics, behavior genetics, computational social science, app development, FinTech and healthcare data. The last 3 years I have run a consultancy while also building two profitable startups as data architect, data engineer while also being responsible for AI engineering and machine learning. Current Certifications: Databricks: Data Engineer Professional Azure: Developer, Data Scientist, Data Engineer, AI Engineer AWS: Data Engineer GCP: Data Engineer I have an extensive background in Python, R, JavaScript, SQL (T-SQL, PostgreSQL, SparkSQL, Databricks SQL, CQL, HiveQL, Cypher, KQL), with most data science libraries such as Pandas, NumPy, Scikit-learn, SciPy, SymPy, Rapids, PySpark, TensorFlow and TensorFlow Probability, Keras, PyTorch. I have extensive experience with standard data engineering tools: Snowflake, Databricks, Spark, PostgeSQL , dbt , Neo4j, Hadoop, Airflow, Beam, Iceberg, Hive, Kafka

, AirFlow, Flink, SuperBase, Hadoop, Dagster, Prefect, dot. As well as deep experience with several AI frameworks and automation tools: DSPy, LlamaIndex, BAML. LangChain, Hugging Face, AutoGen, LangGraph, a2a, MCP the AI frameworks of all 3 major cloud providers, n8n, Make, PipeDream, Flowise, Zapier, 5 Tran, and AirByte. 
I have extensive experience with multiple cloud providers, especially with the following skills and cloud products:
 General Cloud Development: Databricks in any cloud Azure: Storage, Networking, Functions, VMs, App Service, Synapse, Data Factory, DevOps, Kubernetes Service, API Management, Service Bus, Event Hubs, Event Grid, PubSub, Notification HubsRelay, IoT Hub, Power Apps, Power Automate, Azure Machine Learning, Synapse Analytics, Data Lake Storage, SQL Server, Cosmos DB, Data Flow, Stream Analytics, HDInsight, Redis, Cognitive Services, Text Analytics Service, LUIS, Custom Vision, Bot Service, Cognitive Search, and the general Power Platform AWS: S3, EBS, EC2, Lambda, Networking, RDS, Redshift, Arora, Athena, DynamoDB, DocumentDB, Lake Formation, Glue, Redis, SageMaker, Bedrock, Kinesis, QuickSight Elasstic Beanstalk, Elastic Kubernetes Service, Databricks, Pipeline, EMR, CloudWatch GCP: Storage, Networking, Cloud Functions, VMs, App Engine, Kubernetes Engine, API Gateway, BigQuery, BigTable, DataProc, Composer, DataFlow, Data Fusion, Data Studio, Cloud SQL, CloudSpanner, Cloud Memorystore, Pub/Sub