AWS Data Engineer
Summary
Experienced IT professional with 9 years in Big Data and AWS Cloud Engineering. Specializes in designing efficient data pipelines and leveraging AWS services (Redshift, EMR, Lambda) for scalable solutions. Strong background in ETL, data lake management, and Python automation, coupled with a solid understanding of machine learning. Adept at working in Agile teams to deliver innovative data solutions.
Expectations
AWS Data engineer
Employment Preferences
Spoken Languages
- English - Intermediate
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
Skills
- Big Data Technologies
- Hadoop
- MapReduce
- HDFS
- Hive
- YARN
- PySpark
- Databricks
- Kafka
- Databases
- SQL
- NoSQL
- DHW SQL
- MySQL
- PostgreSQL
- MongoDB
- Snowflake
- DBT
- Fivetran
- Nifi
- Delta Lake
- DataStage
- Programming Languages Python
- Pytest
- Pandas
- Numpy
- Shell Script
- AWS AWS IAM
- S3
- EC2
- RDS
- EMR
- Lambda
- Glue
- Step Functions
- DynamoDB
- Athena
- Redshift
- Quick Sight
- Cloud Formation
- CloudWatch
- SQS
- SNS
- Event Bridge
- Hadoop Distributions Apache Hadoop 2.x
- 1.X
- Cloudera
- Tools Used PyCharm
- VS Code
- SSH
- Versioning Tools Git
- Bitbucket
- Monitoring Tool Apache Airflow
- Redwood Runmyjobs
- Arow
- Visualization
- Reporting Tableau
- Matplotlib
- Data Science Machine Learning
- Deep Learning
- NLP
- Sklearn
- Scikit
- Statsmodels
- Others Unity Catalog
- Data Governance
- Agile
- Jira
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