Azure Developer Resume
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SUMMARY:
Confidential is a trusted Microsoft Azure Developer with prior Project Management & Data Analysis experience within Engineering & Product Development department, leading cross - functional teams. He has worked with Cloud services, SQL databases and ETL pipelines using Bash/shell, R and python.
SKILLS & EXPERTISE:
- Microsoft Azure - IoT hub, HDInsight, Data Factory, Blob Storage, SQL Database
- R - RStudio, tidyverse, data.tables, caret, ETL Tools, modelling, data visualization
- Python - pip, pandas, numpy, scikit-learn, Jupyter
- SQL - MySQL, Databases, T-SQL
- Confidential Cloud - Qwiklabs projects; BigQuery, Hadoop Spark, Data Studio, Dataproc
- AWS - AMIs, EC2, S3, RDS
- Knime - ETL Tools
- Git - Version Control
- Linux/Unix - bash, terminal, ssh
- Microsoft Office - Excel (VBA, Macros, Pivot tables), Word, Outlook, PowerPoint, Access, Project
- Seradex ERP - ERP management and reporting
- Organization - Time management, prioritization
- Communication - Lead meetings, instruct technicians
- Design of Experiments - Develop experimental rationale towards hypothesis
- Digital Printing - Operating, testing (ICC reader, spectrophometer, dyne, microscope)
- Product development - Design of Experiments, ISO engineering tests (printing applications), Timelines
PROFESSIONAL EXPERIENCE:
Confidential
Azure Developer
Responsibilities:
- Focused Confidential period on scripting projects per skill per time period towards role
- Extended skills list is available upon request due to resume prioritization
- Scraping/Scripting in R to ETL data from various sources (SQL databases, APIs, webpages) to present time-series models
- Functional analysis reports with data visualizations and statistical methodology for activity models in R
- Working on additional paid small projects (incl. Confidential )
- Built over 10 major analysis/architect projects for discussion per skills, using Bash (Cloud), Python (Cloud), R (Analysis), and T-SQL (Database), etc.
- Successfully created service and device connection between local python-scripted telemetry devices to cloud hub. Reading the gathered data, can create a time-series model via ADF or SQL Warehouse.
- Confidential ( Confidential ) aggregated flat csv files of >1m historical data required ETL from server to owned cloud SQL Database for efficient analysis. Retrieval via Virtual Machine (VM) using R scripts, followed by ETL, and creating SQL database with files, allowed updated pipeline for further analysis.
- Per data from Confidential, a logistic regression machine learning model was run to predict if a flight would be delayed per the arrival time, and the required time between final boarding to the next destination.
- The algorithm used was implemented from the Confidential ’s GitHub page, and run with Confidential ’s mllib and sql libraries. The result was a function with 3 variable inputs to predict delayed flight.
- In this project, SQL tables were used via ETL to report a complete inventory using semi-joins, aggregates, and tabulating methods. The final table was further analyzed using BigQuery ML to determine core sales vs outlying products.
Research & Quality Specialist
Confidential
Responsibilities:
- Strong data analytical skills - collect and analyze data from R&D experiments and other queried data into project-associated datasets
- Created summary analysis project reports from datasets, to be presented to internal executives and external OEM engineering clients or stakeholders
- Provided statistically significant results to determine melting points and forming characteristics limitations during new product development potential
- Guided discussions between internal teams and external clients with experimental data and reports
- Designing, experimenting and analyzing R&D experiments to create critical framework for presenting and supporting high-level executive meetings
- Strong written and verbal communication skills with internal and external international contractors / stakeholders per project
- Lead meetings as subject matter expert (SME) with customers, discussing project timelines, requirements, and results
- Maintained internal documents control (development, release, and updates), per ISO standards
- Performed detailed overhaul via automated ETL of legacy documents as part of documents control