Senior Data Engineer - AWS, Azure, Snowflake, Synapse

MONISHA NAGISETTY

Dallas, Tx +1-469-***-**** ****************@*****.***

SUMMARY

Senior Data Engineering professional with 3+ years of experience designing and optimizing cloud-native data platforms and ETL/ELT pipelines across AWS and Azure. Expertise in Snowflake, Synapse Analytics, PostgreSQL, and Python for scalable data architectures, delivering performance tuning and cost-effective solutions. Proven track record improving query response times by up to 40% and enabling real-time analytics to drive enterprise decision-making. WORK EXPERIENCE

Verra Mobility Senior Database Engineer Aug 2025 - Present Led the design and implementation of a high-performance, cloud-native PostgreSQL database platform supporting enterprise-grade transactional applications on AWS. The system was built to ensure scalability, reliability, security, and seamless API integration using Hasura.

• Designed and managed PostgreSQL database solutions supporting applications handling 2M+ monthly transactions, maintaining 99.9% system availability in AWS environments.

• Improved database performance by optimizing indexes, rewriting complex SQL queries, and analyzing execution plans, reducing query response times by 40%.

• Implemented partitioning and tuning strategies for large datasets (100M+ records), improving reporting and batch processing efficiency by 35%.

• Deployed and administered PostgreSQL on AWS RDS/Aurora (Multi-AZ) using Terraform, configuring read replicas, automated backups, and point-in-time recovery to strengthen high availability and disaster recovery readiness.

• Developed and maintained 150+ PL/pgSQL stored procedures, triggers, and functions to enforce business rules and enhance data consistency.

• Built secure GraphQL and REST APIs using Hasura, enabling integration across 5+ cross-functional teams, while enforcing role-based access control (RBAC) and row-level security (RLS).

• Strengthened database security through encryption (TLS, KMS), IAM role integration, and audit logging, achieving full compliance with internal security standards.

• Proactively monitored performance using AWS CloudWatch and Performance Insights, reducing production database incidents by 30% through early detection and resolution of locking and concurrency issues.

• Databases & Cloud: PostgreSQL, AWS RDS, Amazon Aurora PostgreSQL, AWS (EC2, RDS, Aurora, IAM, CloudWatch, KMS, S3)

• API Layer & Programming: Hasura (GraphQL Engine), GraphQL, REST APIs, SQL, PL/pgSQL

• Security & Performance: RBAC, Row-Level Security (RLS), TLS/SSL Encryption, IAM Policies, EXPLAIN/ANALYZE, Query Optimization, AWS CloudWatch, Performance Insights

• DevOps & Reliability: Docker, Git, CI/CD Pipelines, Schema Migration Tools, Automated Backups, PITR, Multi-AZ Deployment, Read Replicas

Accenture Azure Data Engineering Analyst May 2022 - Dec 2023 Developed and implemented data migration and analytics solutions for Intel marketing data, utilizing Azure Data Factory, Synapse Analytics, Databricks, Snowflake, and Data Lake Storage. Optimized ETL pipelines, reducing data processing time by 30% and improving reporting accuracy by 25%, leading to enhanced business insights and faster decision-making.

• Developed and optimized ETL/ELT pipelines using Azure Data Factory, Databricks, dbt, Snowflake, and Synapse Analytics, improving data accessibility by 40%.

• Executed 99% accurate data migration and designed scalable cloud architecture with Azure Data Lake Storage and Apache Iceberg, optimizing Parquet and ORC formats for 30% faster querying.

• Optimized SQL queries, views, and materialized views in Snowflake and Synapse Analytics, enhancing query performance by 25% and reporting speed by 30%.

• Applied performance tuning to ETL pipelines and queries, reducing latency by 20%, cloud costs by 15%, and ensuring 99.5% data accuracy.

• Implemented monitoring, alerting, and governance policies on Airflow workflows and with Azure Monitor, Log Analytics, and lineage tracking, achieving 98% uptime and 30% faster issue resolution.

• Azure (Data Factory, Fabric, Synapse Analytics, Databricks, Data Lake Storage), Snowflake, AWS (S3) with strong expertise in SQL, Python, Spark, handling Parquet/ORC/JSON/CSV formats, using Azure Monitor & Log Analytics for monitoring, Git & JIRA for collaboration, and optimizing queries through Snowflake, Power BI, Synapse, Materialized Views, SSRS, and SSIS. Azure Data Engineering Analyst Aug 2021 - Apr 2022 Implemented data migration and analytics solutions using Azure Data Factory, Synapse Analytics, Databricks, Snowflake, and Data Lake Storage, optimizing ETL pipelines to enable real-time reporting, improve data processing efficiency by 30%, and enhance business operations.

• Developed ETL/ELT pipelines using Azure Data Factory and Databricks, improving processing efficiency by 30%.

• Optimized SQL queries and views, enhancing reporting efficiency by 25%.

• Processed datasets using SQL and Python, ensuring 99.5% data accuracy.

• Monitored pipelines with Azure Monitor and integrated AI-driven anomaly detection, automating validation and issue resolution.

• Aligned data solutions with business needs and documented processes for scalability.

• Cloud & Data Platforms: Azure (Data Factory, Synapse Analytics, Databricks, Data Lake Storage), Snowflake Programming Languages: SQL, Python Version Control & Collaboration: Git, JIRA PROJECTS

Alumni Interaction Portal

• Developed a web-based Alumni Portal using Python and Django with responsive UI (HTML, CSS, Bootstrap, JavaScript), increasing user engagement by 40%.

• Implemented secure cloud database integration, authentication, dynamic forms, and messaging features, reducing manual processes by 50%, and improving maintainability.

Campus Recruitment Pro

• Designed and developed an Oracle-based recruitment database system with optimized relational schemas, SQL queries, stored procedures, triggers, and functions to streamline operations.

• Enhanced data integrity, security, and reporting efficiency through access control implementation, performance tuning, and reliable backup and recovery processes.

Cloud Based Machine learning service-data Analytics & API development

• Built a cloud-hosted ML prediction service using Python (scikit-learn) and R, exposing real-time insights through RESTful APIs for web integration.

• Deployed scalable and cost-efficient solutions using Azure Functions and Azure Cosmos DB to support real-time analytics and cognitive applications.

EDUCATION

East Texas A&M University Commerce Jan 2024 - May 2025 Master of Science, Computer and Information Sciences (GPA: 3.56/4.0) TECHNICAL SKILLS

• Cloud Platforms: Azure (Data Factory, Fabric, Synapse Analytics, Databricks, Data Lake Storage, Azure Monitor, Purview), AWS

(EC2, RDS, Aurora PostgreSQL, S3, IAM, CloudWatch, KMS), power BI

• Databases & Data Warehousing: PostgreSQL, AWS RDS, Amazon Aurora PostgreSQL, Snowflake, Synapse Analytics, MySQL, MongoDB (NoSQL), Hadoop, Spark, Dbt, Apache Iceberg

• API & Integration Layer: Hasura (GraphQL Engine), GraphQL, REST APIs, ETL/ELT Pipelines, Data Migration

• Programming & Querying: SQL, PL/pgSQL, PL/SQL, Python, Java, JavaScript, C, C++, R

• Data Formats: Parquet, ORC, JSON, CSV

• Security & Performance: Role-Based Access Control (RBAC), Row-Level Security (RLS), TLS/SSL Encryption, IAM Policies, Query Optimization, EXPLAIN/ANALYZE, Performance Insights

• Monitoring & Logging: Azure Monitor, Log Analytics, AWS CloudWatch

• DevOps & Tools: Git, Docker, CI/CD Pipelines, Schema Migration Tools, JIRA, Airflow, Terraform

• Backup & Reliability: Automated Backups, Point-in-Time Recovery (PITR), Multi-AZ Deployment, Read Replicas

• Methodologies & Practices: Agile, Scrum, Unit Testing, Data Validation, Data Transformation, Data Cleaning, Documentation, Stakeholder Collaboration, AI Integration

CERTIFICATIONS

• DP-203 (Azure Data Engineer Associate)

• PL-900 (Power Platform Fundamentals)

• SC-900 (Security, Compliance, and Identity Fundamentals)

• DP-900 (Azure Data Fundamentals)

• AZ-900 (Azure Fundamentals)

• Udemy courses on Azure Data Engineering, ETL, and Big Data Processing.

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