Help & Supportcareers@gravityer.com
Data Engineer with 2+ years in Data Pipeline & Cloud Technologies
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Results-driven Data Engineer with over 2.6 years of experience designing and maintaining scalable data pipelines, optimizing ETL processes, and building analytics dashboards. Proficient in Google BigQuery, Python, and Apache Airflow on Google Cloud Platform (GCP). Experienced in automating data workflows using Composer, Cloud Functions, and delivering real-time insights via Looker Studio and Tableau. Strong understanding of SQL-based data warehousing, cloud-native tools, and Agile development environments.
Centre for Development of Advanced Computing
Post Graduate Diploma in Big Data Technologies
September 1, 2022 – April 1, 2023
PasarPolis
Data Engineer
January 1, 2024 – January 1, 2026
India
PasarPolis
Data Science Intern
July 1, 2023 – January 1, 2024
India
Apache Airflow using Google Cloud Composer: Introduction
Unknown
June 1, 2026 – Present
The Structured Query Language (SQL)
Coursera
June 1, 2026 – Present
Python Data Structures
Coursera
June 1, 2026 – Present
Relational Database Design
Coursera
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience as a Data Engineer and Data Science Intern at PasarPolis shows a consistent career path aligned with the target role. Their certifications in Apache Airflow, SQL, Python, and Relational Database Design indicate a proactive approach to skill development. The 'Technology Enthusiast' interest further supports a cultural fit for a role requiring continuous learning and problem-solving with new technologies. The breadth of skills across GCP, Python, SQL, and various data tools suggests versatility.
Soft Skills & Operational Fit
The candidate demonstrates strong analytical problem-solving skills, evidenced by improving efficiency and accuracy in reporting cycles. Their ability to quickly learn and apply new data technologies suggests adaptability. Experience in Agile environments and using GitHub indicates a good fit for collaborative, iterative development processes.