Nishtha P

Data Engineer with approximately 2 years of combined experience in Python, SQL, PySpark, Apache Spark, cloud computing, and data processing. Hands-on training and practical exposure to Google Cloud Platform (GCP) and Amazon Web Services (AWS), including BigQuery, Amazon S3, AWS Glue, AWS Glue Data Catalog, AWS Glue Crawler, AWS Lambda, Amazon Athena, Amazon CloudWatch, AWS IAM, and Amazon MWAA (Managed Workflows for Apache Airflow). Skilled in developing and testing cloud-based data workflows, applying ETL concepts, performing data transformation and validation, writing SQL queries, troubleshooting data workflows, and understanding workflow orchestration.

Strong foundation in cloud data engineering with practical GCP and BigQuery experience supported by a Google Cloud-issued Skill Badge.

TRAINEE DATA ENGINEER at Browse Jobs (2026-01 – 2026-07)

Received hands-on training in Google Cloud Platform (GCP) and Amazon Web Services (AWS), with practical exposure to cloud computing concepts, services, architecture, and data engineering workflows.

• Gained practical knowledge of GCP data analytics and BigQuery, including SQL-based querying and analysis of cloud datasets.
• Worked with Amazon S3, AWS Glue, AWS Glue Data Catalog, AWS Glue Crawler, AWS Lambda, Amazon Athena, AWS IAM, Amazon MWAA (Airflow), and Amazon CloudWatch through hands-on cloud data-engineering exercises.
• Understood and applied AWS IAM concepts for access control, roles, and permissions in cloud-based data workflows.
• Explored workflow orchestration using Amazon MWAA (Managed Workflows for Apache Airflow) for scheduling and managing data pipelines.
• Built and tested a cloud-based data workflow involving CSV ingestion into Amazon S3, schema discovery using AWS Glue Crawler, metadata management using AWS Glue Data Catalog, and SQL analysis using Amazon Athena.
• Created AWS Lambda functions for data-processing and automation tasks and used Amazon CloudWatch for monitoring and troubleshooting.
• Applied ETL concepts including data ingestion, schema discovery, data transformation, data validation, metadata cataloging, and analytical querying.
• Used Python, PySpark, and SQL for data processing, transformation, validation, and analytical use cases.
• Performed troubleshooting and validation of data workflows to ensure accuracy, consistency, and reliability. Used Git/GitHub for version control and code management during training and project work.

IT TRAINER at Back2Study (2024-07 – 2025-09)

• Taught Python programming through practical exercises covering programming fundamentals, data structures, functions, file handling, data manipulation, and problem solving.
• Taught SQL concepts including filtering, joins, aggregation, subqueries, and analytical queries.
• Designed hands-on exercises and examples to help learners develop practical Python and SQL skills.
• Assisted students in troubleshooting Python and SQL code and understanding programming and database concepts.

B.Tech in Computer Science & Engineering – Integral University, Lucknow (2009)