AKANKSHA RANA
Data EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Data Engineer with 4+ years in Azure Databricks & Real-Time Streaming
Senior Data Engineer with 7 years of experience building scalable, cloud-native data solutions across aviation, automotive warranty, and telecom industries. Currently working at Etihad Airways (via Xebia, Abu Dhabi), designing and delivering near real-time data pipelines that drive passenger operations and guest experience at one of the UAE's most prominent airlines. Specialist in the Microsoft Azure data ecosystem - including Azure Databricks, Apache Spark, PySpark, Azure Data Factory, Azure Event Hubs, Azure Cosmos DB, and ADLS Gen2 with a consistent track record of optimising pipeline performance, reducing cloud costs, and ensuring data quality at scale. Experienced in Medallion Architecture, data lake design, data modelling, data governance, and CI/CD-driven deployments. A collaborative, Agile practitioner who translates complex business requirements into production-ready data engineering solutions.
GL Bajaj Institute of Technology & Management
Master of Computer Applications (MCA)
N/A – June 30, 2019
FMG Institute
Bachelor of Computer Applications (BCA)
N/A – June 30, 2017
Xebia (Client: Etihad Airways)
Senior Data Engineer
June 1, 2025 – Present
Abu Dhabi Island and Internal Islands City, Abu Dhabi Emirate, United Arab Emirates
Assurant Automotive Warranty Solutions
Data Engineer
June 1, 2023 – June 1, 2025
Noida, Uttar Pradesh, India
One97 Communications (Paytm)
Software Engineer - Data
October 1, 2021 – June 1, 2023
Noida, Uttar Pradesh, India
Azure Databricks Certification
Azure
June 1, 2026 – Present
ChatGPT / AI Tools Certification
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's experience across aviation, automotive warranty, and telecom industries demonstrates adaptability and a broad understanding of different data domains. Their involvement in Agile methodologies (Jira, Confluence, PI Planning) and emphasis on documentation and knowledge transfer align well with collaborative and transparent work cultures. The focus on cost optimization and performance tuning also indicates a results-oriented mindset. The diverse project exposure and consistent progression in data engineering roles suggest a strong cultural fit for dynamic and technically challenging environments.
Soft Skills & Operational Fit
The candidate demonstrates strong operational fit through their experience in maintaining 24/7 streaming pipeline reliability, proactive monitoring, incident response, and systematic root cause analysis. Their active contribution to Agile delivery, including PI planning, sprint reviews, and retrospectives, indicates good team collaboration and process adherence. The ability to act as a primary data engineering point of contact for business stakeholders and translate complex requirements into precise logic highlights strong communication and problem-solving skills.