Summary

Expertise

Project Highlights

Education

Agency

AH

English:

Upper Intermediate

Ali H.

vetted by Youteam

Vetted by YouTeam

Canada

UTC -05:00

America/Toronto

English:

Upper Intermediate

Brilliant Data Engineer with experience working as a Data Analyst and using SQL, AWS, and Python.

I'm a skilled Senior Data Engineer with 5 years of experience. I have 4 years of experience in Python and SQL, specializing in data engineering and analytics. Proficient in data manipulation and analysis using Pandas, and has successfully recommended and implemented DBT in my previous company. I have a comprehensive background in creating insightful reports with tools like Metabase, Redash, Superset, and Looker Data Studio, and is proficient in working with MySQL, PostgreSQL, AuroraDB, RedShift, and MongoDB. I believe my technical expertise, skills, and innovative approach make me a great addition to any data engineering team.

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Expertise

Years of commercial development experience

5 years of experience

Core technologies

Python 4 years
pandas 3 years
SQL 4 years
AWS 3 years
Data Visualization 3 years
PostgreSQL 4 years

Other technologies

Agile
Apache
C++
Excel
Java
JavaScript
MongoDB
MySQL
Data Visualization
Git
Version Control
Docker
Bitbucket
AWS Lambda
Numpy

Project Highlights

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Senior Data Engineer

Assessment Platform

Feb `23 - Jun `24

1 year

Assessment Platform

Developed an innovative AI-powered hiring platform, AI+, designed to automate 90% of manual recruitment tasks. As Team Lead, Ali ensured high-quality code, supported team members, and facilitated client communication, revolutionizing the recruiting process with advanced AI technology.

Responsibilities & achievements

Responsibilities: Responsible for setting team processes Providing support and guidance to team members (technical and non-technical) Ensuring code and work quality Facilitating clear communication between the team and the client

JIRA
PostgreSQL
Python
SQL
Git
Docker
Bitbucket
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Data Engineer

Facility Management Platform

Oct `22 - Feb `23

4 months

Facilitron

Facilitron is a cutting-edge, data-driven facility management platform that specializes in streamlining facility scheduling and rental requests for schools, colleges, and cities. By offering real-time insights into cost and utilization data, Facilitron empowers educational institutions and municipalities to make data-driven decisions regarding their facilities. The platform enhances operational efficiency by simplifying the process of managing facility rentals, ensuring optimal use of resources, and providing comprehensive analytics to inform strategic planning and improve overall facility management.

Responsibilities & achievements

Responsibilities: Data end to end, starting by getting needed data from databases Mining data Applying needed analytics and building dashboards for businesses for data-driven decisions Achievements: Working on getting recommendations business side related to the reservations, and it’s summary statistics to help the marketing team make targeted campaigns Built Reports on Data Studio for reservation analysis

MongoDB
Python
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Data Engineer

Payments and Subscriptions Management App

Jun `22 - Oct `22

4 months

Payments and Subscriptions Management App

App to keep track of all the payments and subscriptions ever made with any of your credit cards.

Responsibilities & achievements

Responsibilities: Building and maintaining data pipeline Data transformations Building views to drive business decisions from data Capture data from different sources into BigQuery Achievements: Build a pipeline to capture data from Facebook ads to warehouse Build a pipeline to capture data from Google Ads to warehouse Query optimizations for better performance Marketing dashboard for businesses to know the effectiveness of the campaigns

Python
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Data Engineer

Fatura LLC

Apr `21 - May `22

1 year

Fatura LLC

As a Data Engineer, Ali built data pipelines to transfer data from multiple sources to a data warehouse, developed segmentation models, automated business reports using Python and AWS Lambda, and deployed machine learning models into production. His work improved data quality and operational efficiency.

Responsibilities & achievements

Built various data pipelines using Python to transfer data from multiple sources to a data warehouse Built a Segmentation model to segment sellers on the platform based on their market performance and potentiality Automated business reports using Python & AWS Lambda Developed Python tools to perform complex transformations and aggregations to enable analysts to surface valuable insights Identified data quality issues and put preventive measures to ensure higher confidence in data Building E2E robust data pipelines for Machine Learning models Helped Identify bottlenecks in the company's data stack Deployed machine learning models into production

AWS
Python
Data Warehousing
AWS Lambda
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Data Analyst

Precision Farming Platform

Aug `20 - Apr `21

8 months

Precision Farming Platform

Served as a Data Analyst, writing complex SQL queries to analyze large data sets, performing statistical analysis, and resolving data discrepancies. Ali built daily reports and dashboards using Apache Superset, providing clients with data-driven insights to optimize their farming activities.

Responsibilities & achievements

Write complex SQL to query large data platforms such as SQL servers to obtain data necessary for analysis and reporting Conduct data quality analysis to resolve data discrepancy issues Perform statistical analysis to support business decisions Communicate with stakeholders to transfer business requirements to technical requirements Build daily reports to help clients make data-driven decisions in their daily activities Built dashboards to present analysis and visualizations using Apache Superset Database Administration

Apache
Python
SQL

Education

Higher education in Computer Science

Agency

Custom Web Apps agency #4594

50-100

GMT+2

Ukraine

Core Expertise

Agile
AngularJS
AWS
Azure
C
C#
C++
Cassandra
Django
Elixir
Express.js
Flask
GitHub
Ionic
JavaScript
Kubernetes
MongoDB
MySQL
.NET
Node.js
PHP
PostgreSQL
Python
QA
React.js
React Native
Ruby
Ruby on Rails
Sinatra
Spark
SQL
TypeScript
WordPress
Elasticsearch
Git
Jenkins
Product management
Redis
Capybara
Git Flow
Project management
RESTful API
Celery
DynamoDB
Grafana
CircleCI
Kanban
Vue.js
AWS SDK
GitLab
Corda
Flutter
Slack
.NET Core
AWS Lambda
Koa.js
Next.js
Terraform
.NET Framework
.NET Web API
Azure API Management
Kafka
Fast API
Nest.js

Industries

Banking & Finance, Healthcare & Medicine

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