Narendra S Mishra

Engineered and delivered cloud-native data solutions on Google Cloud Platform (GCP).

Implemented scalable pipelines utilizing BigQuery, DataProc, and Composer.

Optimized data engineering processes using Python, PySpark, and SQL.

Architected and delivered cloud-native data and analytics solutions on Google Cloud Platform.

Implemented scalable data pipelines utilizing BigQuery, DataProc, and Composer with Python, PySpark, and SQL.

Built batch and real-time data solutions leveraging Hadoop ecosystem tools such as Hive and HQL.

Designed maintainable architectures by creating high-level and low-level design documents aligned with business goals.

Applied Azure Data Services and Databricks for comprehensive data product development.

Leveraged AWS data services and EMR to facilitate big data analytics and product creation.

Managed on-premises infrastructure to ensure optimal performance in data engineering projects.

Executed data strategies emphasizing governance, security, and compliance to foster transformation.

• Designed comprehensive architectural solutions for diverse client needs.
• Collaborated with cross-functional teams to ensure seamless project execution.
• Analyzed system requirements to align technology with business objectives.
• Facilitated stakeholder meetings to gather requirements and feedback effectively.
• Mentored junior architects and engineers on best practices and standards.
• Developed technical specifications and architecture documentation for projects.
• Evaluated emerging technologies to enhance service offerings and capabilities.
• Ensured compliance with industry standards and regulatory requirements in designs.
• Provided technical guidance on project estimations for budgeting purposes.
• Led cross-functional teams in developing innovative solutions to challenging problems.
• Ensured compliance with security policies and procedures throughout all phases of product lifecycle.
• Identified opportunities for process improvement initiatives that enhance operational efficiency.
• Conducted research and evaluation of emerging technologies for potential use within the organization.
• Collaborated with stakeholders to ensure alignment of technology solutions with organizational goals.
• Developed architectural solutions to address customer requirements and business objectives.
• Participated in code reviews to ensure quality assurance standards are being met.
• Coordinated testing activities including unit tests, integration tests, regression tests, user acceptance tests.
• Developed automated deployment processes to streamline release cycles across multiple environments.
• Analyzed system performance metrics to identify areas of improvement or optimization.
• Created detailed architecture diagrams illustrating application components, data flows, integration points.
• Documented system designs, configurations, installation instructions, training materials.
• Provided technical leadership on complex projects from concept through delivery.
• Designed, developed, tested, and implemented software applications in accordance with industry standards.
• Facilitated communication between IT departments and other business units as needed.
• Mentored junior staff members on software engineering principles and best practices.
• Consulted and advised clients on tailored technology solutions to fulfill business needs and user demands.
• Assisted in resolving production issues escalated by support teams in a timely manner.
• Monitored industry trends and best practices related to systems architecture and development processes.
• Directed the design and implementation of enterprise-level architectures for clients.
• Provided support for database upgrades and software deployments.

• Constructed streaming data pipeline utilizing Lambda and Kappa architectures with Apache Kafka and Apache Spark.
• Deployed Cloudera across AWS and Azure environments for EC2/VM and EMR/HDInsight.
• Tuned memory parameters to enhance database performance.
• Facilitated data extraction from flat files, transforming data per mapping specifications for database loading.
• Authored Oracle PL/SQL and MS SQL T-SQL code on Oracle 10g, 11g and MS SQL 2008, 2012 servers.
• Designed Data Warehouse architecture for Anti-Money Laundering Application.
• Executed performance tuning for Oracle and SQL Server databases, optimizing SQL scripts and stored procedures.
• Served as Oracle and MS SQL Database Administrator, maintaining core banking and Anti-Money Laundering databases.