Highly skilled and detail-oriented Data Engineer with 23 months of professional experience seeking a challenging position to leverage my expertise in data engineering and analytics. I am dedicated to designing, developin…
Highly skilled and detail-oriented Data Engineer with 23 months of professional experience seeking a challenging position to leverage my expertise in data engineering and analytics. I am dedicated to designing, developing, and maintaining robust data pipelines to drive data-centric solutions and provide actionable insights for business growth.
Created data pipeline using Apache Airflow, Python, and AWS to store weekly raw data. Designed multi-user, multi-database app for processing thousands of records. Managed SQL and NoSQL using DbSchema for data collection and modeling. Collaborated with cross-functional teams for pipeline design and business needs. Developed scalable data ingestion processes and optimized ETL workflows. Implemented data quality checks and monitoring mechanisms for data integrity. Documented technical specifications and data dictionaries for knowledge sharing.
Created data pipeline using Apache Airflow, Python, and AWS to store weekly raw data.
Designed multi-user, multi-database app for processing thousands of records.
Managed SQL and NoSQL using DbSchema for data collection and modeling.
Collaborated with cross-functional teams for pipeline design and business needs.
Developed scalable data ingestion processes and optimized ETL workflows.
Implemented data quality checks and monitoring mechanisms for data integrity.
Documented technical specifications and data dictionaries for knowledge sharing.
Analyzed and identified data quality issues and strategies to mitigate these issues in the given data.
Prepared a PowerPoint presentation outlining the approach to be taken.
Worked within a 3-week scope with phases including Data Exploration and Model Development.
Provided training for data maintenance and issue resolution in data cleaning.
Fixed bugs in existing pipelines and maintained systems documentation.
Designed dimensional data models and worked with data analysts and scientists.
Conducted performance tuning and optimization of database queries.
Provided first level compliance monitoring and investigations.
Assisted with forensics analysis and fact gathering.
Assisted with vulnerability assessments and penetration testing for specific applications, services, networks and servers as required.
Participated in the Google Cloud Ready Facilitator program covering Computing, Application Development, Big Data and Machine Learning using Google Cloud's training platform called Qwiklabs.
Learned these topics using self-paced labs with temporary credentials to Google Cloud Platform.
The Aim of the project is to analyze and identify the data quality issues and strategies to mitigate these Issues in the given data. We need to start with a PowerPoint presentation which outlines the approach which we will be taking.
The client has agreed on a 3 week scope with the following 3 phases as follows - Data Exploration; Model Development
Provided training for data maintenance and issue resolution in data cleaning.
Fixed bugs in existing pipelines and maintained systems documentation.
Designed dimensional data models and worked with data analysts and scientists.
Conducted performance tuning and optimization of database queries.
Provide first level compliance monitoring and investigations. Assist with forensics analysis and fact gathering. Assist with vulnerability assessments and penetration testing for specific applications, services, networks and servers as required.
The Google Cloud Ready Facilitator program will introduce you to Computing, Application Development, Big Data & Machine Learning using Google Cloud's training platform called Qwiklabs.
I learned each of these topic using self-paced labs that provides you temporary credentials to Google Cloud Platform, so you can learn the cloud using the Real thing – no simulations
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