Shafia Askari

Data Engineer II at Redica Systems
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Contact Information
us****@****om
(386) 825-5501
Location
Pleasanton, California, United States, US

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Alireza Sheikh-Zadeh

During the Fall 2019 and Spring 2020, I had the pleasure of having Ms. Askari in my Multivariate Analysis, and Simulation Optimization classes. She distinguished herself by her exceptional academic performance. Her ability to think through and come up with commendable responses when given assignments impress me a lot. Due to the aforementioned, I highly recommend her to join your team at any capacity in your organization.

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Credentials

  • The Complete SQL bootcamp 2020
    Udemy
    Aug, 2020
    - Oct, 2024

Experience

  • Redica Systems
    • United States
    • Information Services
    • 1 - 100 Employee
    • Data Engineer II
      • May 2021 - Present

      -Designed ELT Pipeline by building high-performance data models using Dbt labs in Snowflake, ensuring efficient and high-quality data delivery. -Built a Business Intelligence layer with STAR Schemas (Kimball approach) for GoodData, providing real-time analytics and visualization capabilities. -Implemented containerization on AWS ECS with DAGs for scheduled data processing on Airflow, enhancing scalability and reliability. -Developed automated ETL pipelines in Python on AWS using Lambdas and event-based rules, resulting in faster data processing and weekly delivery to customers. -Integrated data quality automation using FastAPI for JSON and CSV Schema validation, reducing data breaches. -Analyzed and visualized data with Tableau for better communication of insights. -Collaborated with stakeholders, cross-functional teams, and decision-makers to prioritize and deliver high-priority projects on time. -Established data quality checks, conducted QA, and implemented monitoring routines, improving ETL and ELT reliability. Summary:Utilized technologies such as Python, AWS Event Bridge, Dbt labs, Snowflake, GoodData, AWS ECS, Airflow, FastAPI, and Tableau to deliver efficient data solutions and provide valuable insights. Show less

  • dataVediK
    • United States
    • Oil and Gas
    • 1 - 100 Employee
    • Software and Analytics Engineer
      • Aug 2020 - Apr 2021

      -Designed a Python application to develop a scalable Mongo DB structure through a Mongo shell and Mongo engine API, resulting in providing customers with high-speed data processing results. -Automated database changes, testing, and deployment using Jenkins and PowerShell. -Programmed automation of bulk delete process to assist engineering teams in stress testing the models, increasing testing efficiency, and reducing errors. -Built a framework in Python to load oil-and-drilling data from XML format to SQL Server databases and Mongo DB, increasing scalability to handle big data loading processes. -Conducted software testing and code reviews to prepare best practices for data loading and logging summary. -Drove project tasks under weekly sprint cycles and participated in daily scrum meetings to update management. -Developed and maintained big data pipelines using Airflow to process, clean, and ingest semi-structured data. Show less

  • Texas Tech University System
    • United States
    • Higher Education
    • 100 - 200 Employee
    • Graduate Assistant - Software and Analytics
      • Jul 2019 - Aug 2020

      - Lead Fraud analytics project in Python with Google maps API integrations to find illegal vendor addresses and report spam activities. - Performed Vendor management risks analysis, and control to find doubtful activities performed by vendors in Python. - Implemented customized working shifts time tracker for Texas tech hourly employees and automated weekly reporting in Excel. - Lead Fraud analytics project in Python with Google maps API integrations to find illegal vendor addresses and report spam activities. - Performed Vendor management risks analysis, and control to find doubtful activities performed by vendors in Python. - Implemented customized working shifts time tracker for Texas tech hourly employees and automated weekly reporting in Excel.

  • Bank Alfalah Limited
    • Pakistan
    • Banking
    • 700 & Above Employee
    • Data Engineer
      • Jan 2019 - May 2019

      Data Cleaning and Ambiguity Resolution: Using SQL and Python, I performed Extract, Transform, and Load (ETL) operations to clean and preprocess the data. This involved identifying and resolving data ambiguities, inconsistencies, and errors, ensuring the data was accurate and reliable for further analysis. Customer Activity Reporting: I utilized tools such as V-Lookup and Pivot tables to generate updated customer activity reports. These reports provided detailed information on customer behavior, preferences, and transaction patterns. By summarizing the data, I helped the marketing and finance divisions gain a better understanding of customer trends and make informed decisions. Automation of ETL Processes: To streamline the data analysis workflow, automated the ETL routine from Tera Data to the Power BI server. By designing and implementing automated processes, minimized manual effort and data improvement was achieved. This automation allowed for faster data retrieval and analysis, saving valuable time for the team. Creation of Customer Churn Dashboard: In order to monitor customer churn and identify potential areas for improvement, I built a customer churn dashboard for each division unit. This dashboard provided real-time insights into customer retention rates and allowed stakeholders to track and address churn-related issues proactively. It served as a valuable tool for strategizing marketing campaigns and implementing targeted retention initiatives. Predictive Analytics for Churn Prediction: Utilizing tools such as Pentaho and Weka, I performed predictive analytics to forecast customer churn on a monthly basis. By leveraging machine learning algorithms and scoring techniques. These predictions empowered the marketing team to devise effective strategies to retain customers and enhance the success of marketing campaigns. Show less

  • Global e-Commerce Services
    • Pakistan
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Software Engineer
      • Mar 2018 - Jun 2018

      - Full stack web based application developer. - Developed multiple spring boot based services for their online travel agent website. - Implemented Python based automated SMS-sending service for 10,000 clients of the ABM group of companies on ABM servers. - Full stack web based application developer. - Developed multiple spring boot based services for their online travel agent website. - Implemented Python based automated SMS-sending service for 10,000 clients of the ABM group of companies on ABM servers.

Education

  • Texas Tech University - Rawls College of Business
    Masters in Data Science, Data Science
    2019 - 2020
  • Institute of Business Administration
    Bachelor of Science - BS, Computer Science
    2014 - 2017

Community

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