Associate Data Engineer with experience in SQL, C#, .NET, Apache Spark, PySpark, SparkSQL, Azure DevOps, AWS, Tableau, Power BI, Kafka, Jira, and Scrum Agile methodologies. Also experienced as a Graduate Assistant and Da…
Associate Data Engineer with experience in SQL, C#, .NET, Apache Spark, PySpark, SparkSQL, Azure DevOps, AWS, Tableau, Power BI, Kafka, Jira, and Scrum Agile methodologies. Also experienced as a Graduate Assistant and Data Analyst Intern, with work involving predictive analysis, dashboarding, ETL, machine learning, and data preprocessing.
<p>Designed dynamic programming lab sessions for a class of 60 students, facilitating hands-on learning experiences.<br>
Conducted regular assessments and feedback surveys to identify students' strengths, weaknesses, and areas of interest in the course.<br>
Integrated collected data with student information using MySQL and applied clustering techniques with python to extract insights through predictive analysis.<br>
Collaborated closely with professors and management to implement adaptive learning strategies by presenting insights through Power BI reports.<br>
This initiative led to a 62% average grade improvement for a cohort of 40 students.</p>
<p>Coordinated with dev and test team to code crucial API’s using SQL, C# MVC architecture in .NET framework and designed CI/CD pipelines using Azure DevOps services, to reduce deployment errors and manual tasks by 70%.<br>
Developed Apache Spark applications in PySpark and SparkSQL to pre-process client data and store it onto Amazon S3 bucket.<br>
Connected AWS Athena and QuickSight to cloud data sources to create insightful dashboards that auto-refresh on data updates.<br>
Prioritized deliverables for each sprint and deployed software changes frequently using Git for version controlling and Jenkins for CI/CD pipelines resulting 50% decrease in deployment time.<br>
Effectively contributed to Scrum Agile software methodologies for project timelines, business requirements, scrum meetings, testing, release management, and ongoing support, resulting in a 73% improvement in project delivery.<br>
Managed and prioritized data-related tasks and bug reports using Jira, resulting in efficient issue resolution on time.</p>
<p>Collaborated with the data team to collect customer support data from companies chart bot, emails and APIs using Kafka.<br>
Engineered an efficient Apache Spark pipeline to automate preprocessing tasks for text data, such as removing stop words, special characters, and normalizing text through stemming and lemmatization; resulted 50% reduction in data preprocessing time and enhanced accuracy of text tokenization for advanced analysis.<br>
Conducted feature engineering to construct a new output variable using VADER from NLTK library.<br>
Developed a supervised machine learning algorithm with 87% accuracy classifying tokens based on the calculated compound score.<br>
Streamlined data reporting processes and improved data accessibility for customer support teams by developing and maintaining automated Tableau dashboards, focused on categories falling into the negative class.<br>
Performed A/B Testing showed an improved customer satisfaction by 36%.</p>
نظام التوظيف التشغيلي المعتمد على الذكاء الاصطناعي أولاً، الذي يوحّد ويؤتمت دورة التوظيف بالكامل للمؤسسات الحديثة حول العالم.
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