Almas

Data engineer | Python developer

Data Engineer with 8+ years of experience in data analysis and financial reporting, transitioning into data engineering. Skilled in SQL, PL/SQL, and Python with experience in Oracle DWH, MySQL, Qlik Sense, and Power BI. Adept at building automated data pipelines and transforming manual reporting into scalable solutions. Looking for remote opportunities in data engineering.

Hard skills
Languages & Tools: SQL, PL/SQL, Python, MySQL
Databases: Oracle DWH, MySQL, Google BigQuery, StarRocks
ETL & Visualization: Power BI, Qlik Sense, Tableu, Power Query, Excel
Other Tools: DBeaver, Jupyter, Jira, Scrum, Kanban, Git, Bash, Linux, Pandas, Numpy
Additional In-Demand Skills: Apache Airflow, dbt, AWS (S3, Redshift), Docker, Apache Spark, Kafka

Portfolio projects

Data cleaning and EDA in sql

Data cleaning project for layoffs data in MySQL steps:
- remove duplicates,
- create a new staging table for the cleaned data
- standardize data
- handle null or blank values.
Stack: My SQL, MySQl Workbench

Movie correlation With python

First, import libraries.
Then I clean the data (duplicates, missing values, errors).
Conclusion from correlation matrix: Votes and budget have the highest correlation to gross earnings.
Stack: Python, Jupyter Notebook, Pandas, Numpy, Seaborn, Matplotlib

A/B Testing

The AB test is a randomized experiment that is used by most large companies to evaluate the launch of new functionality. Various difficulties may arise in the analysis and conduct of the experiment. Several typical problematic cases from real life are given in this dataset and analysis.
1. Loading and processing data
2. Statistical Analysis
3. Conclusions
Stack: python, numpy, pandas, scipy, matplotlib, seaborn

Project 4 soon...

Soon

Project 5 soon...

Soon

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