Ashish A. is a Senior Data Engineer with experience in data pipeline development, ETL, and data analysis. He has worked with various modern data stack tools such as BigQuery and Snowflake, and has experience with Airflow, Fivetran, Python, and SQL. He is also familiar with GCP/AWS/Azure, Bigquery, Snowflake, DBT, Docker, AWS(S3, MWAA), Linux commands, MySQL, PostgreSQL, and Flask/Django Rest Framework. He is skilled in data ingestion, weather trends analysis, data engineering, and European soccer data analysis. Ashish A. has also received client appreciation for solving data discrepancy issues and has been recognized as a compassionate person at GenieTalk.
Developed a Python module to scrape and update data at regular intervals, involving scraping geolocation data and storing it into database post transformation.
Developed Regular Expression patterns to classify user queries into services.
Implemented data scraping, transformation, and DSL-based query classification.
Presented an analysis showing European soccer teams have an advantage when playing on home grounds using data analysis, data visualization, and data wrangling. Found that European teams have better chances to win and score higher at home. Also found that betting odds support this finding.
Analyzed the trips data for NYC-based ride-sharing company Citi Bike. Discovered that most trips start and end during the busy morning and evening hours. Visualized popular start/end stations and average trip duration.
