About
Highly accomplished and results-driven Data Engineer with 3+ years of experience in designing, optimizing, and deploying robust data pipelines and cloud-based solutions. Proven expertise in AWS, GCP, and Azure platforms, with a strong command of ETL frameworks (Apache Airflow) and data visualization tools (Tableau, Power BI). Adept at automating processes, enhancing data quality, and driving operational efficiencies, as demonstrated by quantifiable improvements in pipeline efficiency and data accessibility. Seeking to leverage advanced data engineering skills to solve complex challenges and contribute to innovative data-driven initiatives.
Work
→
Summary
Contributed to data analysis and reporting initiatives, focusing on enhancing data accessibility and stakeholder insights.
Highlights
Developed dynamic Power BI dashboards and reports with parameterized queries, enabling advanced analysis of relational database systems and enhancing user interactivity.
Improved internal data accessibility, reducing the time required for stakeholders to derive operational insights and make informed decisions by 25%.
→
Summary
Responsible for designing, developing, and optimizing data pipelines and cloud infrastructure to ensure efficient data processing and delivery.
Highlights
Engineered and optimized CI/CD pipelines on AWS and GCP, streamlining application deployment, release workflows, and bolstering system reliability.
Designed and maintained robust Apache Airflow ETL workflows, automating data orchestration and delivery and improving data pipeline efficiency by 10%.
Orchestrated complex ETL workflows using Airflow DAGs, enhancing pipeline efficiency by 25% through advanced error handling for edge cases.
Led AWS infrastructure enhancements leveraging EC2, Lambda, and S3, significantly strengthening cloud security with IAM policies and reducing unauthorized access incidents.
Automated anomaly detection and data quality validation in Python-driven ETL pipelines, increasing operational efficiency by 25% through proactive issue resolution and monitoring.
Languages
English
Fluent
Skills
Cloud Platforms
Firebase.
Programming Languages
Python, SQL.
Programming Languages
Java, Scala.
Programming Languages
C, R.
Cloud Platforms
AWS, Amazon S3, Amazon Redshift, Amazon EMR, Amazon Athena, AWS Lambda, Amazon EC2.
Cloud Platforms
Google Cloud Platform (GCP), Microsoft Azure.
Data Visualization Tools
Tableau, Power BI.
DevOps & Data Orchestration
Apache Airflow, Apache Spark, Git, CI/CD.
DevOps & Data Orchestration
Docker, Kubernetes, Jenkins, JIRA, Bitbucket.
DevOps & Data Orchestration
IntelliJ.
Databases
MySQL.