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Rismitha

Rismitha

AWS DATA ENGINEER

Talent
KochiMember since September 22, 2026
SQLPythonPySparkSnowflakeETL/ELTData MigrationData WarehousedbtAWS S3AWS GlueJenkinsCI/CDSnowpipeStreams/TasksFail-safe
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SQLPythonPySparkSnowflakeETL/ELT

About

AWS Data Engineer with 3+ years of experience developing and optimizing scalable data solutions using AWS and Snowflake. Skilled in ETL/ELT, data migration, Snowflake Data Warehouse, Snowpipe, SQL, Streams/Tasks, and Fail-safe, with hands-on experience in Redshift, PySpark, and DBT for data processing and modeling. Experienced in AWS Glue, Lambda, Step Functions, IAM, Airflow, and Jenkins CI/CD for data orchestration and deployment, with strong knowledge of multi-cloud environments and performance and cost optimization.

Experience

AWS Data Engineer - Walmart - Bengaluru, India

(2026-04 - 2026-08)

  • Worked as an AWS Data Engineer, developing and supporting scalable ETL/ELT pipelines for customer, account, loan, credit-card, payment, and transaction data.
  • Used AWS services, SQL, data validation, and reconciliation to support data integration, pipeline monitoring, troubleshooting, and production data processing.
  • Transitioned to Cloud Support Engineer responsibilities, providing L1/L2 support for banking applications and troubleshooting payment failures, transaction issues, application errors, and data mismatches.
  • Monitored AWS cloud applications and integrations using logs and alerts; managed incidents through ServiceNow, performed RCA, supported deployments, production validation, access controls, and escalations.

AWS Data Engineer - Firstsource Solutions - Bengaluru, India

(2025-01 - 2026-03)

  • Developed batch ETL/ELT pipelines using PySpark, SQL, and AWS to extract customer, loan, credit-card, payment, and transaction data from PostgreSQL and load transformed data into Snowflake.
  • Built PySpark batch jobs for large-volume data processing, including cleansing, transformation, validation, joins, aggregations, and incremental data loads.
  • Developed dbt models in Snowflake for data transformation, standardization, business rules, data quality checks, and reporting.
  • Used AWS S3 and AWS Glue for batch data ingestion, staging, processing, and integration between PostgreSQL and Snowflake, with monitoring and troubleshooting of batch jobs.

AWS Data Engineer - Wipro - Bengaluru, India

(2023-07 - 2024-08)

  • Designed and supported ETL/ELT pipelines using Python, SQL, and PySpark to migrate structured and semi-structured banking data from on-premises systems to Oracle and Snowflake.
  • Developed data extraction and transformation processes for customer, account, transaction, lending, and financial data, including cleansing, mapping, validation, and incremental migration.
  • Used AWS S3 and AWS Glue as staging and processing layers for migration workflows, with Snowflake as the target cloud data warehouse.
  • Performed source-to-target validation, reconciliation, data quality checks, and performance tuning, supporting migration testing, production cutover, and troubleshooting of data and pipeline issues.

Education

Btech - Computer Science - Bannari Amman Institute of Technology (2023-03) Sathyamangalam, India

Skills

AWS DATA ENGINEER

Reviews

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