Abhilash Junghare
Big Data DeveloperAI 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
Big Data Developer with 7+ years in data pipelines & AWS EMR.
5+ years of extensive experience in Data Engineering and ETL Testing, with expertise in designing, developing, and optimizing large-scale data pipelines. 5+ years of experience as a Big Data Engineer, specializing in building distributed data processing solutions using Apache Spark, PySpark, Hadoop, Kafka, and Hive. 2 years of experience in ETL Testing, ensuring data accuracy, integrity, and performance in data warehouse and ETL pipelines. Proficient in integrating big data solutions with cloud platforms such as AWS (EMR, S3, Step Functions). Strong expertise in developing and maintaining Spark applications for batch and stream processing, along with performance tuning and cluster management. Skilled in Sqoop for data ingestion and migration, and Hive for efficient querying and data storage.
RTMNU University Nagpur
BE · Electronics & Telecommunications
N/A – June 30, 2017
Saudi Aramco
Big Data/Hadoop Developer
May 1, 2021 – November 1, 2024
Saudi Arab
Virtuoso Projects & Engineers PVT LTD
IT
April 1, 2019 – November 1, 2024
India
Hneywell Automation
ETL Tester
April 1, 2019 – April 1, 2021
Pune, Maharashtra, India
Pratek Enterprises
Non-IT
November 1, 2017 – March 1, 2019
India
Cultural Fit Analysis
The candidate has experience in diverse roles, including Big Data Developer and ETL Tester, and has worked for companies like Saudi Aramco and Honeywell. This suggests adaptability and exposure to different organizational cultures. The focus on cloud-based big data solutions aligns well with modern data engineering practices. However, the lack of explicit project details or contributions to open-source/community initiatives limits the assessment of broader cultural fit and collaborative potential.
Soft Skills & Operational Fit
The candidate's resume highlights practical experience in debugging, performance tuning, and orchestrating complex data workflows, indicating strong problem-solving and operational skills. The detailed descriptions of responsibilities suggest an ability to work independently on critical data infrastructure tasks. However, without specific project details or team collaboration examples, it's difficult to fully assess soft skills like teamwork or communication beyond the technical descriptions.