InfoTech / Industrial Equipment [ ]

12 Months

Documentation Specialist with experience in SQL and familiarity with Databricks | US based Manufacturing firm | CST time zone

CLIENT:
US Industrial Equipment & Manufacturing Company
CONSULTANT:
The expert specializes in Analytics/Data Science and Engineering services and holds technical experience in:
• ML ALGORITHMS: NLP, LLM, Computer Vision, Text Classification, Linear & Logistic Regression, KNN, Decision Trees, Random Forests, Clustering (K-means), Naive Bayes Theorem, Principal Component Analysis, Market Basket Analysis, LSTM, FBProphet, ARIMA, GBM, Recommendation System etc.
• SOFTWARE SKILLS: Python, SQL, Databricks, AWS, Azure, Advanced SAS (Base SAS Certified), VBA, R, Tableau, Power BI, Alteryx & MS Office.
• DATA OPERATIONS: Data Architecture, ETL, Data Governance, Azure Data Factory, AWS Model deployment, Databricks, ML Flow and MLOPS
ASSIGNMENT:
· Create and maintain high-quality, enterprise level technical documentation, including data model, data dictionary, data pipeline and related ETL processes, system documentation, and training materials. All these document
· Develop and maintain business documentation, such as process flows, business requirements documents, and standard operating procedures.
· Collaborate with technical and business stakeholders to gather information and ensure accuracy of documentation.
· Experience with SQL to utilize SQL to extract and analyze data for documentation purposes.
· Experience in Databricks to leverage Databricks platform for data analysis and documentation related tasks.
· Adhere to enterprise documentation standards and style guides.
· Continuously improve documentation processes and templates.
OUTCOME:
The consultant successfully delivered comprehensive and high-quality technical and business documentation, enabling seamless understanding and usage of complex data models, pipelines, and processes across stakeholders. The collaboration with technical and business teams ensured accuracy and relevance of documentation, leading to streamlined workflows and enhanced operational efficiency. Leveraging SQL and Databricks, the consultant provided actionable insights, contributing to the development of robust documentation standards and templates. The result was improved knowledge sharing, reduced onboarding time, and strengthened adherence to enterprise documentation standards.