Candidate Profile
SB
S******* B*****
Big Data Engineer – PySpark & SQL
| Category | Details | Claimed Experience | Real Experience | Evidence from Resume | Consistency |
|---|---|---|---|---|---|
| Best-Fit Roles | Data Engineer, Data Analyst | 3 years | 3 years | Professional Experience as Data Engineer at Inspira Financial and Data Analyst at Wipro | Consistent |
| Primary Role-Based Skills | Python, SQL, Power BI, Tableau, AWS, Azure, GCP, ETL development, data modeling, pipeline orchestration (Airflow, Jenkins), data warehousing (Snowflake, Databricks) | 3 years | 3 years | Technical Skills and Professional Experience sections | Consistent |
| Secondary Skills | CI/CD, API Integration, Data Analysis, BI Tools, Version Control, Agile methodologies | N/A | N/A | Technical Skills and Professional Experience sections | Consistent |
| Tools & Platforms | AWS (S3, EC2, Lambda, Glue, Redshift), Azure (Data Factory, Synapse Analytics, Blob Storage, SQL DB), GCP (BigQuery), Salesforce, Oracle Integration Cloud, Airflow, Jenkins, Apache Spark, Kafka, dbt, Git, JIRA, Docker | N/A | N/A | Technical Skills and Professional Experience sections | Consistent |
| Certifications | SnowPro Core Certification, Oracle Cloud Infrastructure Data Platform Associate, Microsoft Azure Data Fundamentals (DP-900), dbt Fundamentals badge | N/A | N/A | Certifications section | Consistent |
| Availability | Currently employed at Inspira Financial since Feb 2025 | N/A | N/A | Professional Experience section | Consistent |
| Stability | 2 years at Wipro, currently at Inspira Financial | N/A | N/A | Professional Experience section | Consistent |
| Leadership Level | Led the end-to-end migration of batch data pipelines at Inspira Financial | N/A | N/A | Professional Experience section | Consistent |
| Domain Expertise | Financial services (Inspira Financial), IT services (Wipro) | N/A | N/A | Professional Experience section | Consistent |
| Claimed experience vs real experience | No discrepancies found | 3 years | 3 years | Summary and Professional Experience sections | Consistent |
Job Compatibility Score
Big Data Engineer – PySpark & SQL
85%Candidate Evaluation Summary for S***** B*******
Total Score: 85/100
Key Insights:
- Strong Alignment with Primary Skills: S******* demonstrates hands-on experience with SQL, PySpark, and Python, which are core to the role. His work on ETL pipelines, data validation, and cloud migrations directly matches the JD requirements.
- Relevant Job Titles & Experience: His current role as a Data Engineer and prior experience as a Data Analyst align well with the responsibilities of the job.
- Tool Proficiency: He has worked with key tools like Databricks, Snowflake, Airflow, and Jenkins, though some JD-specific tools (e.g., PySpark optimization) could use deeper validation.
- Domain & Certifications: While domain expertise isn’t explicitly highlighted, his financial services experience (Inspira Financial) is a plus. Certifications (Snowflake, Azure) add credibility.
- Minor Gaps: No explicit mention of stored procedure optimization or big data performance tuning in recent roles, which are JD highlights.
Candidate Evaluation Table
| Category | Details from Job Description | Claimed Experience | Relevant Experience | Evidence from Resume | Score |
|---|---|---|---|---|---|
| Job Titles | Data Engineer (SQL/PySpark focus) | 3 years (Data Engineer + Data Analyst) | 3 years (Data Engineer at Inspira Financial) | "Data Engineer, Inspira Financial (2025–Present)" | 15/15 |
| Primary Role-Based Skills | 1. SQL (ETL, stored procedures) | 3+ years | 3 years (Oracle, MySQL, Azure SQL) | "Designed/tuned SQL queries & stored procedures" (Wipro) | 20/20 |
| 2. PySpark (data pipelines) | 3 years | 2 years (Databricks, Delta Lake) | "Utilized Delta Lake in Databricks" (Inspira) | 18/20 | |
| 3. Python (ETL, automation) | 3 years | 3 years (Pandas, PySpark) | "Containerized PySpark ETL jobs" (Inspira) | 20/20 | |
| Secondary Skills | 1. Data Orchestration (Airflow/Jenkins) | 3 years | 2 years | "Airflow DAGs, Jenkins CI/CD" (Projects) | 8/10 |
| 2. Cloud Platforms (AWS/Azure) | 3 years | 2 years | "AWS EC2/S3, Azure Synapse" (Inspira/Projects) | 9/10 | |
| Tools & Platforms | 1. Databricks/Snowflake | 2 years | 2 years | "Delta Lake in Databricks" (Inspira) | 8/10 |
| 2. PySpark | 2 years | 2 years | "PySpark ETL jobs" (Inspira) | 8/10 | |
| Certifications | 1. Snowflake | N/A | N/A | "SnowPro Core Certification" | 5/5 |
| Experience Level | 3+ years in data engineering | 3 years | 3 years | Roles at Inspira & Wipro | 10/10 |
| Domain Expertise | Enterprise data platforms | 2 years (BFSI) | 2 years | "Financial transaction logs" (Inspira) | 8/10 |
| Consistency Across Summary, Experience, and Education | N/A | N/A | N/A | Resume aligns with claims (MS Data Science, roles) | 10/10 |
Final Notes
S******* is a strong fit for the role, with minor room for deeper validation on performance tuning and scalability specifics. Recommend an interview to probe:
- PySpark optimization (e.g., partitioning, caching).
- Stored procedure complexity (e.g., error handling, performance benchmarks).
- Big data governance (e.g., data quality frameworks).
Would prioritize him for technical rounds.