McLean Technology

McLean Technology (MT) provides technical expertise in data engineering, data science and machine learning.

With knowledge of Python, PySpark, Scala, Java and Go languages, MT develops AWS- and Azure-based data pipelines and data analytics solutions with specific knowledge of Databricks technologies.

By creating production-ready solutions, MT has successfully consulted on, designed, developed and deployed data processing pipelines both in greenfield projects and through improvements to existing systems. Our work has resulted in new sales, increased revenue and reduced cloud costs.

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AT A GLANCE

Keen on continuous learning and have industry certifications in Databricks Data Engineer Professional and Databrick GenAI, with previous certificates in AWS solutions architecture and AWS machine learning.

Areas of expertise include data engineering, data science and data analytics.

Recent contracts have involved

creation of a new end-end data solution to support CRM marketing leading to £1.6M/yr uplift in sales
optimising and improving streaming- and batch-data pipelines
developing an Azure/AWS cross-cloud data management platform which saves over £2M/year in cloud costs
creating a new data pipeline to ingest, process and query geo data
building new processing pipelines for medical data in Azure
supporting and guiding the implementation of a medallion architecture.

TOP 5 STRENGTHS

Extensive technical knowledge.
Broad technical experience.
Providing insight from a user's perspective.
A reputation for creating cloud-based data solutions which are capable of mitigating critical challenges through the use of scalable big-data architecture. This has been applied to both streaming- and batch-data pipelines, which handle billions of events per day.
Experience with different organisation structures, from R&D, to government, to start-ups.

TECHNICAL SKILLS

Programming languages 7-10 years+

Python, PySpark, Java, GoLang, SQL

Data Science resources 5 years+

Databricks, Keras, tensorflow, pytorch, scikitlearn, jupyter notebooks, mlflow, langchain, open ai, wandb

Cloud platforms 5 years+

Azure, AWS, Databricks, Batch, Kafka, Kinesis, Athena, Lambda, EKS, Glue, CloudFormation, CosmoDb, HDInsight

Dev Ops, Orchestration, Containers 5 years+

AZDevOps, Github Actions, Jenkins, Airflow, Luigi, Docker, Kubernetes, ECR

Visualization software 2 years+

Plotly, Matplotlib, Javascript

Data Tools 5 years+

PostgreSQL, MySQL

Productivity tools 5 years+

Trello, Clubhouse, Jira

AT A GLANCE

TOP 5 STRENGTHS

TECHNICAL SKILLS

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