Senior SQL Server & PostgreSQL DBA

SURESH NADIPINENI

SQL Server & PostgreSQL DBA Database Migration Azure & AWS & RDS Migrations

Dallas TX ****.**********@*****.*** +1-214-***-**** Available Immediately

linkedin.com/in/suresh-nadipineni github.com/infodba86/pgvector-enterprise-rag

12+ Years Experience 100+ Databases Managed 99.9% Uptime Delivered 60% ETL Time Saved 7+ Certifications

PROFESSIONAL SUMMARY

Sr. SQL Server & PostgreSQL DBA with 12+ years of enterprise experience in database administration and large-scale database migrations across Azure, AWS, and RDS environments — supporting PostgreSQL, MySQL, Oracle, and SQL Server — performing current-state assessments, designing phased cutover strategies, and ensuring data integrity with minimal business disruption. 2019–2025 focus on SQL Server (2019+) schema-versioning and migration modernization using Liquibase-based idempotent deployments orchestrated through GitLab CI/CD pipelines. Proven outcomes: 99.9% uptime across 100+ databases, 60% ETL cost reduction via Azure Data Factory automation, 40% security improvement, and 30% CPU reduction through query optimization. Deep expertise across banking, healthcare, and technology — managing mission-critical database infrastructure on Azure and AWS. Experienced cross-functional collaborator partnering with application teams, solution architects, and infrastructure partners to assess dependencies, coordinate testing and validation, resolve data discrepancies, and lead post-migration stabilization. Proven in data governance policies, SOX and HIPAA compliance, regulatory requirements, disaster recovery, and audit-ready documentation.

Now expanding into AI-integrated data infrastructure — deploying pgvector on PostgreSQL as vector database backbone for RAG applications, designing LLM-ready ETL pipelines via Azure Data Factory, and building event-driven AI data streams with Confluent Kafka. Bridging 12+ years of enterprise database mastery with modern GenAI data engineering practices.

CERTIFICATIONS

DP-300 — Azure Database Administrator Associate (Microsoft)

AZ-104 — Microsoft Azure Administrator (Microsoft)

AZ-900 — Microsoft Azure Fundamentals (Microsoft)

AWS Certified Cloud Practitioner (Amazon Web Services)

MCSA — SQL 2016 Database Administration (Microsoft · 2020)

70-764 — Administering SQL Database Infrastructure (Microsoft)

70-765 — Provisioning SQL Databases (Microsoft)

CORE COMPETENCIES

PostgreSQL, MySQL & Oracle Migration Cross-Platform Database Migration Azure Data Factory (ADF) Pipelines Data Governance & Compliance High Availability & Disaster Recovery Current-State Assessment & Cutover Planning pgvector / AI Vector Databases Confluent Kafka & Event Streaming Cloud: Azure & AWS SOX & HIPAA Compliance & Security

TECHNICAL SKILLS

Databases: PostgreSQL, SQL Server (2005–2022), Azure SQL DB, AWS RDS, Amazon Aurora, MySQL, Oracle

Migration Tools: AWS DMS, Azure Database Migration Service, SSMA, pg_dump/pg_restore, SQL Loader, Red Gate, SSIS

AI & Vector DB: pgvector, Embedding pipelines, RAG architecture, LLM-compatible ETL design, AI data chunking & indexing

Cloud Platforms: Microsoft Azure (ADF, AKS, SQL DB, Cosmos DB, Event Hubs, Azure OpenAI), AWS (EC2, RDS, Amazon Aurora, S3, IAM, CloudWatch, Route 53, VPC, CloudFormation)

Streaming & ETL: Confluent Kafka, Apache Kafka, Kafka Connect, Schema Registry, SSIS, Azure Data Factory, Power BI, SSMA

Containers & Orchestration: Azure Kubernetes Service (AKS), Helm, Istio, Docker, Event-Driven Architecture

SQL Server Tools: SSMS, Visual Studio, Visual Studio Code, Enterprise Manager, Index Tuning Wizard, Database Tuning Wizard, Profiler, Query Analyzer

PostgreSQL Tools: pgAdmin, pgBouncer, pg_dump, pg_restore, autovacuum, pg_stat_statements, pgBackRest, Patroni, Streaming Replication

Automation & Scripting: PowerShell, Shell Scripting, Python (pipeline scripting), ARM Templates, GitHub Actions, Azure DevOps, Ansible, Bash

HA & DR: Always On AG, Failover Clustering, Log Shipping, Replication, Mirroring, PITR, Streaming Replication

Security & Compliance: RBAC, SSL/TLS, TDE, Dynamic Data Masking, IAM, SOX, HIPAA, Least-Privilege Access, Data Encryption

Performance & Monitoring: Query Optimization, Index Tuning, EXPLAIN/EXPLAIN ANALYZE, Execution Plans, DMVs, DBCC, SolarWinds, CloudWatch, Wait Statistics

Backup Tools: LiteSpeed, Commvault Enterprise Manager, IBM Tivoli (TSM), SQL Loader, AWS Backup

Operating Systems: Windows Server 2003–2022, Linux RHEL (monitoring, troubleshooting, patching)

Agile & ITSM: Jira, ServiceNow, Azure Boards, BMC Remedy, ITIL Change/Problem/Incident Management

PROFESSIONAL EXPERIENCE

Key Bank Cleveland, OH Azure & AWS Apr 2025 – Present

Sr. SQL Server & PostgreSQL DBA Database Migration Azure & AWS

•Designed and managed Azure Data Factory (ADF) pipelines for automated ETL workflows, data migration, and cross-cloud data orchestration — reducing manual processing time by 60%.

•Conducted current-state assessment of source database structures, data volumes, and dependencies prior to migration execution — collaborating with application teams and infrastructure partners to design migration strategies.

•Integrated Confluent Kafka with SQL Server and PostgreSQL enabling real-time data streaming, event-driven architecture, and low-latency pipelines using Kafka Connect and Schema Registry.

•Configured Always On Availability Groups and Failover Clusters — achieving 99.9% uptime across 100+ mission-critical databases supporting banking operations.

•Managed Azure SQL Databases and Cosmos DB with Geo-Replication, automated backups, and high availability for real-time analytics applications.

•Performed PostgreSQL performance tuning using EXPLAIN/EXPLAIN ANALYZE, pgBouncer connection pooling, autovacuum, and index optimization at scale.

•Ensured SOX and HIPAA compliance by implementing audit trails, data access controls, Dynamic Data Masking (DDM), TDE, and database activity monitoring.

•Built AKS-based containerized database infrastructure with ARM Templates and GitHub Actions CI/CD — creating reproducible, MLOps-aligned deployment pipelines.

•Automated database maintenance, backup schedules, and health monitoring using PowerShell and Bash — saving 15+ hours/week of manual DBA effort.

•Deployed pgvector on PostgreSQL clusters enabling vector similarity search — providing the database backbone for Retrieval-Augmented Generation (RAG) AI applications.

•Extended ADF pipelines to include AI data preparation stages: text chunking, embedding-ready formatting, and structured output to Azure Blob Storage for LLM-based application consumption.

•Designed Kafka event-streaming architecture feeding real-time transactional data into AI model inference pipelines — enabling live fraud detection and anomaly analysis with sub-second latency.

•Collaborated with AI/ML engineering teams to optimize database schema and query patterns for high-throughput embedding storage and retrieval supporting LLM fine-tuning data pipelines.

•Designed GitLab CI/CD pipelines automating database migration workflows across build, export, and deployment stages, using fire-and-forget execution patterns for long-running, multi-terabyte data export jobs.

•Led SQL Server database migration and schema-versioning modernization (2019–2025), implementing Liquibase-based idempotent schema and object export/deployment processes across SQL Server 2019 and newer platforms — validating object existence prior to create/update to support repeatable, drift-safe, GitLab CI/CD-driven deployments.

•Automated BCP-based data export with encryption/decryption handling for secure, large-scale database migration to Azure SQL Database.

•Built asynchronous, non-blocking compatibility scanning into CI/CD pipelines using allow-failure and extended-timeout patterns to validate migrated database objects in the background.

•Extended PowerShell automation onto Kubernetes-based Linux runners, bringing traditional Windows-centric DBA scripting into containerized CI/CD pipelines.

•Ensured compliance with data governance policies and organisational standards across all migration and data engineering activities.

State of CT (Health Care) Connecticut On-Prem & AWS Aug 2022 – Mar 2025

Sr. SQL Server & PostgreSQL DBA Database Migration On-Prem & AWS

•Administered 100+ SQL Server and PostgreSQL databases in on-prem and AWS environments.

•Implemented PostgreSQL replication and high availability to support HIPAA-compliant disaster recovery.

•Optimized database performance by tuning queries, indexes, and storage configurations.

•Automated maintenance plans including backups, index maintenance, and health checks.

•Migrated databases from on-prem to AWS EC2, RDS, and Amazon Aurora — including PostgreSQL, SQL Server, MySQL, and Oracle workloads — using AWS DMS and pg_dump/pg_restore, optimizing storage and cost efficiency.

•Designed phased cutover plans to minimise business disruption; implemented data transformation and load processes for migration pipelines ensuring accurate schema mapping between source and target platforms.

•Coordinated testing and validation activities with application owners and QA teams — resolving post-migration data discrepancies using automated row-count and checksum reconciliation scripts prior to cutover sign-off.

•Performed cross-platform migrations involving PostgreSQL, MySQL, Oracle, and SQL Server workloads — ensuring data integrity, schema/data type compatibility, and minimal business disruption across heterogeneous environments.

•Documented migration risks, mitigation plans, and regulatory compliance requirements throughout the migration lifecycle to support audit readiness and ongoing maintainability.

•Implemented disaster recovery strategies using AWS Backup, EC2 snapshots, and S3 Glacier.

•Configured Always On, Replication, and Log Shipping for business continuity.

•Created IAM roles and managed access policies improving security posture by 40%.

•Designed HIPAA-compliant PostgreSQL schemas on AWS RDS as structured data source for healthcare predictive analytics — ensuring zero PII leakage in AI training pipelines.

•Built AWS CloudWatch automated alerting with anomaly detection rules ensuring real-time data quality across 100+ databases for AI/ML analytics teams.

•Monitored migration performance in real time using CloudWatch and pg_stat_statements — identifying and resolving bottlenecks during execution windows; led post-migration stabilisation with 4-week hypercare support, triaging incidents and documenting outcomes for audit readiness.

•Optimized PostgreSQL query performance and indexing strategies for high-volume healthcare data pipelines — reducing data retrieval latency by 40% for ML feature engineering workflows.

Sonata / Microsoft Seattle, WA Enterprise Environment Feb 2020 – Jul 2022

SQL Server & PostgreSQL DBA

•Installed, upgraded, and maintained PostgreSQL and SQL Server in production and non-production environments.

•Performed query optimization and performance troubleshooting across enterprise databases.

•Automated Always On HA configuration using PowerShell scripting, reducing manual setup time significantly.

•Supported database migrations and refreshes between environments — including SQL Server, PostgreSQL, MySQL, and Oracle — across dev, test, and production; authored migration runbooks, dependency matrices, and standard operating procedures to support ongoing maintainability and audit readiness.

•Installed MS SQL Servers 2008, 2008 R2, 2012, 2016 & 2019; configured HA/DR using Always On, Replication, Mirroring, and Log Shipping.

•Supported Microsoft internal data engineering teams by optimizing SQL Server and PostgreSQL performance for large-scale analytics workloads.

•Introduced Python-based scripting alongside PowerShell for database health monitoring.

LTI / SCANIA India Jun 2018 – Jan 2020

SQL Server DBA

•Administered MS SQL Server 2005/2008/R2/2012/2016 across production and non-production environments.

•Configured SQL Server HA/DR using Always On, Replication, Mirroring, and Log Shipping.

•Configured database mail for SQL Server alerts; managed disk space, data files, and log files.

•Optimized SQL Server query execution plans and index strategies for manufacturing data workloads — reducing report generation time by 35%.

Environment: SQL Server 2005/2008/2008R2/2012/2016

Wipro / Suzlon Energy Limited India Mar 2017 – May 2018

SQL Server DBA

•Installed MS SQL Servers 2008, 2008 R2, 2012 & 2016; designed data restoration strategies (Full, Simple, Bulk-logged).

•Monitored and resolved Log Shipping, Mirroring, and Replication issues; used Red Gate for backup/restore.

•Configured database mail for SQL Server alerts; maintained replication pipelines for global manufacturing data.

Environment: SQL Server 2005/2008/2008R2/2012/2016

IBM / State Street Corporation India May 2015 – Feb 2017

SQL DBA

•Created and implemented Change Requests; created and monitored SQL Server jobs, resolving failures.

•Configured Log Shipping and Replication; monitored disk space alerts and resolved issues.

•Implemented SQL Logins, Roles, and Authentication Modes; provided 24x7 production DBA support.

•Maintained audit-ready SQL Server environments implementing access controls, activity monitoring, and change tracking for global financial systems.

•Optimized index strategies across multi-terabyte financial databases — improving query performance by 30%.

Environment: SQL Server 2005/2008/2008R2/2012

B2B Software India Jun 2013 – Apr 2015

SQL Developer

•Implemented data models, database structure design, backup, and recovery processes.

•Configured Change Data Capture (CDC) in SQL Server 2008 to maintain table change history — foundational for modern event-driven AI architectures.

•Worked on SQL Server 2008 failover clustering (Active/Active and Active/Passive); managed SAP backend databases in terabytes.

•Worked on Performance Tuning, DTS Packages, DTS Import/Export; migrated SSIS (2005) packages to SSIS (2008 R2).

AI & DATA ENGINEERING — ACTIVE UPSKILLING

•Building pgvector-powered PostgreSQL vector databases as backend for RAG (Retrieval-Augmented Generation) AI systems — connecting 12 years of DB expertise with GenAI infrastructure.

•Studying LangChain data connectors, Azure OpenAI embedding APIs, and LLM pipeline patterns (chunking, vector indexing, semantic retrieval) for enterprise AI applications.

•Pursuing Azure AI Engineer Associate (AI-102) certification to formalize AI infrastructure knowledge alongside existing Azure certifications (AZ-104, DP-300).

•Targeting AI Data Engineer and AI Infrastructure roles that leverage deep PostgreSQL and cloud database expertise as the data foundation for LLM and ML platforms.

EDUCATION

Master of Computer Applications JNTU Kakinada 2012

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