Hire the Best Amazon Relational Database Service Developers in Kolkata, IN

I have 17+ years of IT experience in the area Application Development, Systems Integration, Production Support, Application Maintenance and QA projects. I have played the role of Project Manager, Project Lead, Business Analyst, Developer and QA. I have managed complete SDLC for medium sized development projects. I have business domain knowledge in the area of Automotive on-board telematics and IT systems, Pharma Relationship Marketing, Manufacturing Execution Systems and Work and Asset Management. I have actively implemented LEAN practices in Production support projects. My technical skills in Database consultancy/administration/development are as follows 1. Design and development of relational and NoSQL databases (Mysql, Oracle, MongoDB). Production support of Mysql and MongoDB databases. 2. Migrating existing databases to Mysql, Oracle and MongoDB. 3. Configuring monitoring and alerts for database servers. 4. Develop business layer applications in PL/SQL / Mysql procedures and UNIX. 5. Setup and support Mysql HA database cluster in single primary or multi primary mode without changes to your data or tables. 6. Setup and support Mysql master-slave replication for backups and failover. 7. Automated Point-in-time recovery of Mysql databases. 8. Performance tune databases like Mysql and Oracle. My programming language skills include 1. PHP 2. C 3. PL/SQL 4. Mysql stored procedures 5. UNIX Shell scripting My technical skills in REST API/Web Services consultancy/development are as follows 1. Creating high performance, scabale, standards compliant and secure RESTful API for backend and business logic processing as microservices or in monolithic service architecture. My technical skills in System/Devops consultancy/administration are as follows 1. Create solution architecture for Cloud and On-Premise infrastructure based on free and open source software stack. 2. Containerize Mysql and other servers using Docker and/or LXC. 3. Deploying LXC containers to create extremely lightweight and tightly packed virtualized environments to isolate, secure and streamline your IT operations. Running LXC containers have near zero performance penalty. 4. Install and configure QEMU-KVM virtual machines with full inter VM and external networking support, 3D graphics acceleration for GUI based administration. 5. Performance tune and secure your LAMP/LEMP and other application stack. 6. Deploying directory servers like OpenLDAP, designing DIT, configuring LDAP access control, indexing, replication and single sign-on. 7. Setup in-memory databases like Memcached or a persistent in-memory database Mysql Memcached plugin for caching or sessions. 8. Setup and maintain secure Email servers using Postfix, Dovecot, Courier IMAP, maildrop, Spamassasin, ClamAV, milters, DKIM, SPF, DMARC and Roundcube webmail. 9. Maintenance and administration of Linux servers like setting up firewall, webservers, mail servers, ldap servers, imap servers, automating system admin tasks using shell scripts, applying security updates, install and uninstall of software packages. 10. Setup of Jenkins for CI/CD of complex project workflows. 11. VPN setup ( IKE/IPSec and OpenVPN )

I specialize in high-performance ETL pipelines that transform complex datasets into fast, reliable Power BI dashboards with clear, decision-ready insights. My core strength is database performance optimization—from efficient ETL scripting and advanced SQL query tuning to smart indexing strategies—consistently delivering faster queries, reduced load times, and scalable data models. I design dashboards with well-aligned KPIs that cut through noise and help stakeholders make confident, data-driven decisions at a glance. Backed by certifications in SQL, Advanced Query Tuning, Snowflake, Python for Data Science, and Oracle SQL Performance Tuning, I deliver high-quality, performance-driven solutions tailored to business needs—turning data into speed, clarity, and impact.

Enterprise Cloud Data Architect with 13+ years of experience leading enterprise-scale data transformation, cloud modernization, and advanced analytics initiatives across AWS and Azure ecosystems. Expertise in architecting scalable lakehouse, real-time streaming, metadata-driven, and event-driven data platforms that enable enterprise analytics, AI/ML, governance, and data-driven decision-making. Proven track record of delivering measurable business outcomes through platform modernization, real-time insights, automation, cost optimization, governance, and data democratization initiatives. Trusted advisor to C-level executives, business stakeholders, and engineering leaders in defining enterprise data strategy, establishing architecture standards and governance frameworks, accelerating cloud adoption, and delivering scalable, secure, and highperforming data platforms. Experienced in leading multiple data modernization programs and building resilient, future-ready ecosystems that support operational excellence, customer intelligence, regulatory compliance, and business growth. Recognized for mentoring high-performing global teams, fostering engineering excellence, and aligning technology strategy with longterm business objectives. SKILLS: Cloud Data Architecture & Strategy: Principal Data Architecture, Enterprise Data Architecture, Cloud Data Architecture (AWS, Azure), Multi-Cloud Architecture, Data Platform Strategy, Enterprise Data Modernization, Cloud Migration Strategy, AWS Well-Architected Framework, Architecture Governance, Architecture Review Board (ARB), RFP/RFQ Solution Design, Data Mesh Concepts, Lakehouse Architecture, Solution Architecture at Scale Cloud Platforms & Data Services: AWS: Amazon S3, Amazon Redshift, AWS Glue, AWS Lambda, Amazon Kinesis, AWS EventBridge, AWS Step Functions, AWS Lake Formation, AWS IAM, AWS CloudWatch, AWS Data Catalog Azure: Azure Data Factory, Azure Databricks, Delta Lake, Delta Live Tables (DLT), Unity Catalog, Lakeflow Connect, Databricks Workflows, Spark-based Lakehouse Engineering. Data Engineering & Processing: Apache Spark, PySpark, Spark SQL, ETL/ELT Pipelines, Streaming Data Processing, Real-Time Data Architecture, Batch Processing, Distributed Data Processing, Change Data Capture (CDC), Apache Iceberg, Data Lakehouse Architecture, High-Volume Data Pipelines. Data Governance, Security & Compliance: Data Governance, Data Security Architecture, Data Lineage, Data Quality Management, Metadata Management, Data Observability, Unity Catalog (Governance & Access Control), IAM (Identity & Access Management), Data Cataloging, Regulatory Compliance (GDPR), Encryption at Rest and In Transit, Policy-Based Data Access. Generative AI & Intelligent Systems: Generative AI Architecture, Agentic AI, Retrieval-Augmented Generation (RAG), Vector Search Systems, LangChain, OpenAI API, Prompt Engineering (Enterprise Use Cases), Semantic Search Architectures, LLM-Based Applications, ChromaDB, FAISS FastAPI, Django, Streamlit. DevOps, Automation & DataOps: CI/CD for Data Platforms, GitHub Actions, AWS CloudFormation, Infrastructure as Code (IaC), Docker, Python Automation, SQL Optimization, DataOps, Automated Deployment Pipelines, Infrastructure Automation