Summary
Overview
Work History
Skills
Certification
Technical Skills Matrix
Core Operational Stack
Languages
Timeline
Generic

Divya Naredla

Hyderabad

Summary

Data Engineering Operations specialist with 6 years of experience managing mission-critical data ecosystems on AWS. Expert in ensuring pipeline reliability, performance tuning, and incident management within highly regulated environments. Highly motivated to integrate AI/ML approaches into operational workflows and proactively expanding expertise into Life Sciences (HL7/FHIR, GXP, and HIPAA compliance) to drive excellence in pharmaceutical data platforms. Proactive Data Engineer known for leveraging Generative AI and automation to enhance workflow efficiency. Experienced in managing complex data pipelines and ensuring data integrity, ready to contribute to innovative data solutions and operational excellence.

Overview

6
6
years of professional experience
1
1
Certification

Work History

Data Engineer - Operations

Deloitte Consulting India Pvt Ltd
01.2022 - Current
  • Production System Ownership: Manage health and performance of AWS/Databricks-based Ingestion and Curation pipelines, ensuring 24/7 data availability for institutional investment platforms.

  • AIOps & Operational Efficiency: Lead a project utilizing Generative AI to automate the creation of technical support documents from source code, reducing onboarding time and Mean Time to Resolution (MTTR).

  • CI/CD & Deployment: Implement and maintain version control using Git and GitHub Actions, automating the deployment of ETL scripts to production while maintaining zero-error reliability.

  • Incident Response & RCA: Primary owner for resolving production ETL failures; built proactive CloudWatch alerting frameworks that improved pipeline uptime by 15%.

  • Workflow Orchestration: Manage complex DAGs in Apache Airflow and batch schedules in Tidal, ensuring seamless dependency mapping between disparate financial data sources.

  • Data Integrity: Engineered automated Data Quality Checks (DQC) to ensure business rule compliance, mirroring the strict data integrity requirements of the pharmaceutical industry.

Python Automation Developer

01.2021 - 04.2022
  • Process Stability: Refactored legacy scripts into Python environments, leveraging Git for version control and increasing operational reliability by 85%.

  • Warehouse Monitoring: Facilitated data ingestion and performance monitoring for Amazon Redshift and Databricks, ensuring high-speed data availability for business units.

Python Developer

01.2020 - 09.2020
  • Backend Support: Managed backend operations for cloud-native CRM portals using AWS Lambda and S3, focusing on incident resolution and system performance

Skills

Operational Monitoring:

AWS CloudWatch, Automated Alerting Frameworks, Predictive Monitoring Concepts, Dashboards & Health Checks

Orchestration:

Apache Airflow (DAGs), Tidal Workload Automation, Cron Scheduling

Automation & AI:

Python (Boto3, Pandas, Scrapy), Generative AI (Code-to-Doc Automation), Shell Scripting

DevOps & Version Control:

Git (GitHub Actions), SVN, CI/CD Pipeline Support, Environment Migrations

Governance & Integrity:

Automated Data Quality Checks (DQC), Schema Validation, GXP/HIPAA Compliance Awareness, Access Management

Certification

  • AWS Certified Data Engineer – Associate
  • AWS Certified Developer – Associate
  • SnowPro Core Certification (Snowflake)
  • NCFM Investment Management & Portfolio Analysis (NSE)

Technical Skills Matrix

AWS (Glue, Athena, S3, Redshift), Databricks, Snowflake, SAP Hana, AWS CloudWatch, Systems Manager, Predictive Monitoring Concepts, Apache Airflow, Tidal Workload Scheduler, Cron, Git, Generative AI (LLMs), CI/CD Pipeline Support, HIPAA/GXP Awareness, Access Management, Security Rotations, Incident

Core Operational Stack

AWS Glue, Athena, S3, DynamoDB, Lambda, Redshift, Systems Manager, AWS CloudWatch (Logs/Metrics), Automated Alerting Frameworks, Apache Airflow (DAG Management), Tidal Workload Automation, Generative AI (LLMs), Python (Boto3, Pandas, Scrapy), Predictive Analytics, Git (Branching, Merging, PRs), SVN, CI/CD Pipeline Support, Automated Data Quality Checks (DQC), Reconciliation, Schema Validation, GXP Principles, HIPAA Data Privacy, HL7/FHIR Standards

Languages

English
Advanced (C1)
C1
Telugu
Native
Native

Timeline

Data Engineer - Operations

Deloitte Consulting India Pvt Ltd
01.2022 - Current

Python Automation Developer

01.2021 - 04.2022

Python Developer

01.2020 - 09.2020
Divya Naredla