Analyse 100K++ dataset, optimize BigQuery by 30% with Python, Pandas, and NumPy, and identify crucial areas for stakeholder intervention, resulting in a substantial revenue boost yearly. Perform Python web scraping using Selenium and Beautiful Soup to extract insights for strategic business expansion decisions
Develop workflow & dynamic dashboards using Python, BigQuery & integrating API calls. Reduce manual intervention completely. Integrate Cronjobs for task automation and webhook & Mail (SMTP) for team communication.
Data Engineering, ETL, and Big Data skills
Data warehousing and Software Development skills
Experience in designing and implementing large-scale data solutions
Strong knowledge of big data technologies and frameworks
Proficiency in programming languages such as Java, Python, or Scala
Experience with data migration and integration
Excellent problem-solving and analytical skills
Ability to work independently and remotely
Bachelor's degree in Computer Science, Information Systems, or related field
