Data Engineer
Summary
I have almost 4 years of industrial experience in the domain of Data Engineering, Business Intelligence and Data Analysis along with the relevant formal education.
I have been involved in analysis, planning, design, development and implementation of an end-to-end data pipelines. I have been engaged in designing, development and deployment of various interactive dashboards using dynamic parameters and the drill-down features. I have been actively participating in rectifying the problems in the existing pipelines, implementing the required optimizations for efficient executions, and performing the required steps to regularize the operations.
I have experience working with almost all the relational databases including MySQL, MS SQL, PostgreSQL, SQLite, Oracle and some cloud-based databases like Azure Synapse as well. I have sound proficiency around Talend, Microsoft Power BI, Google Data Studio, myDBR, Apache Superset, Tableau, FiveTran, SSIS, SSRS, Data Cleansing, Data Analytics, Data Visualization, BI, DWH, ETL, Scheduling, Automation, Monitoring and Observability.
Specialties: Data Engineering, Data Reliability Engineering, Data Wrangling, Data Scrapping, Data Visualization and Storytelling. Managing and executing complex data projects and the whole life cycle of Data Warehousing, Data Analytics and Business Intelligence.
Expectations
I am seeking a role that aligns with my skills and expertise, provides opportunities for professional growth, and allows me to contribute meaningfully to the success of the organization. I value a collaborative and innovative work environment that fosters continuous learning and challenges me to excel in my field.
Employment Preferences
Expected Hourly Rate
** USD/hr
Academic Degree
Experience
Total Professional Experience
Startup Experience
Big-Tech Companies
Enterprise Experience
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