Abhilash Junghare

Pune, Maharashtra, India

Since April 16, 2026

About

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. • Experienced in implementing data governance, quality checks, and metadata management in ETL processes. • Debugged complex PySpark issues on AWS EMR by analyzing detailed error logs stored in AWS S3. • Integrated AWS Step Functions for orchestrating Spark workflows, optimizing task execution order.

Skills

Data WarehousingBigQueryPythonAWS Cloud ServiceGit-GitHubSQLData PreprocessingAWS

Key Strengths

Extensive experience (5+ years) in Data Engineering and ETL Testing, with a focus on large-scale data pipelines.
Strong proficiency in Big Data technologies including Apache Spark, PySpark, Hadoop, Kafka, and Hive.
Demonstrated expertise in integrating Big Data solutions with AWS cloud platforms (EMR, S3, Step Functions) and GCP Dataproc.
Proven ability in developing, optimizing, and maintaining Spark applications for both batch and stream processing, including performance tuning and cluster management.
Experience in data governance, quality checks, and metadata management within ETL processes.
Skilled in debugging complex PySpark issues, optimizing resource allocation, and orchestrating workflows using AWS Step Functions.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric test (score 0) to assess cultural fit aspects.

Soft Skills & 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

Key Strengths

Extensive experience (5+ years) in Data Engineering and ETL Testing, with a focus on large-scale data pipelines.
Strong proficiency in Big Data technologies including Apache Spark, PySpark, Hadoop, Kafka, and Hive.
Demonstrated expertise in integrating Big Data solutions with AWS cloud platforms (EMR, S3, Step Functions) and GCP Dataproc.
Proven ability in developing, optimizing, and maintaining Spark applications for both batch and stream processing, including performance tuning and cluster management.
Experience in data governance, quality checks, and metadata management within ETL processes.
Skilled in debugging complex PySpark issues, optimizing resource allocation, and orchestrating workflows using AWS Step Functions.

Cultural & Operational Fit

Cultural Fit Analysis

Insufficient data from psychometric test (score 0) to assess cultural fit aspects.

Soft Skills & Operational Fit