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Ali is a highly skilled and results-driven Data Engineer with 7 years of extensive experience in data warehousing, analytics, and visualization. He is well-versed in various tools and technologies, including Google Cloud Platform (GCP), BigQuery, Cloud SQL, Amazon Web Services (AWS), Apache Airflow, Apache Spark, GitHub, Python, Hadoop, and Hive. Ali has a proven track record in supporting data teams through the creation and management of data pipelines on Apache Airflow. He excels in designing, developing, and optimizing data solutions to address various business needs and challenges. Ali is adept at handling large-scale datasets, executing complex data transformations, and crafting efficient data pipelines and workflows. His track record underscores his ability to deliver impactful solutions to complex data challenges.
Senior Data Engineer based on a combination of my strong background and advanced technical skills. With over 6 years of hands-on experience in data engineering, I have demonstrated my ability to design, implement, and optimize ETL/ELT pipelines that align with business/customer requests . Worked with GCP(Bigquery,PubSub, GCS, Dataproc, Cloudbuild, CloudRun) . Used Airflow to schedule ETL pipelines. . Used SQL, DBT and Pyspark dataframes to transform the data. . Used Terraform for infra management. . Used Python in lots of cases, Docker to make my app containerized. . Worked with Snowflake as a Cloud Datawarehouse
CloudApache Airflow
Google Cloud PlatformAirflowApache KafkaApache Spark
SQL
PythonGoogle BigQuery
DatabaseMicrosoft SQL Server
MySQLRDBMS
PostgreSQL
GitTerraformAzureMetabaseAWS (Amazon Web Services)Google pubsub
DockerDBTDatabricksSnowflakeNetezzaDataStageIBM SPSSHaving worked in different industries and having experience in different technologies, my primary goal is to introduce latest technology and methodologies to my customers with minimum cost and maximum stability. I like to work in inter-disciplinary fields and with hybrid technology stacks. Please see my github profile for the related work.
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