Pushpendra Tiwari

About Pushpendra Tiwari

Experience Summary:Having total of 14+ extensive years of experiences in different domains (Banking, Financial, Health Care, Energy & utilities, Telecom & Hospitality Industry). Worked on data modernization for existing ETL pipeline and make changes as per client cutting edge technology Request for Smooth, faster, and Secured ETL process with minimum dependency data issue and follow data governance practice. My expertise Leading team from front, ETL data pipelining building with spark, Cloud, and cutting-edge technologies and even Business centric visualization. Illuminating skills of deriving and delivering proven reporting, data science implantation and solutions; by leveraging extensive training, education, and professional experience in data technology to produce applied insights.Functional: Project Management, Team Building, Team Leader, Strategic/Tactical Planning, Business Analysis and Development, Excellent Communication, and Interpretation skillsTechnical: Python, Hadoop, Hive, Spark, SQL, Scala, DBT, Apache Arrow, Sqoop, Phoenix, HBase, Oozie, Airflow, Stone Branch, PY spark, Big query, Dataflow and various other tools from google cloud platform, Docker, Tableau, Git, GitHub, AI, Machine Learning, AIOPS MS SQL Server, My SQL, PostgreSQL, HiveQL, No SQL, Hadoop, AWS, Redshift, AWS Athena, ETL Glue, AWS Data Pipeline, AWS EMR, ServiceNow, Pager Duty

Experience

1. Senior Application Consultant

   Capgemini Engineering

   Feb 2023 — Present · US

   1- Project and Resource Management:Oversee and prioritize data engineering projects to meet business needs and deadlines.Allocate resources effectively to balance workload and optimize team productivity.Monitor project progress and identify potential roadblocks, taking corrective actions as needed.2- Data Architecture and Infrastructure:Collaborate with data architects and other stakeholders to design scalable and robust data architecture.Identify and implement appropriate data storage solutions, such as data warehouses and data lakes.Ensure data security, compliance, and governance best practices are followed.3- Data Pipeline Development:Design and implement data pipelines to extract, transform, and load (ETL) data from various sources.Optimize data pipelines for efficiency, reliability, and performance.Troubleshoot and resolve issues related to data ingestion and processing.4- Technology and Tooling:Stay up-to-date with the latest data engineering tools, technologies, and best practices.Evaluate and recommend tools and platforms that align with the organization\'s data strategy.Standardize data engineering processes and coding conventions across the team.5- Continuous Improvement:Promote a culture of continuous learning and improvement within the team.Encourage experimentation and innovation to drive data engineering efficiency.Identify opportunities for process optimization and automation.

Education

• RC school

  PCM

  2003 — 2005

• University Institute of Technology, RGPV

  Engineer’s Degree, Electronics and Communications Engineering

  2005 — 2009

Skills

• Java
• Hbase
• Flume
• Sql
• Cdh
• Html
• Hadoop Eco System
• Mapreduce
• Hadoop
• Microsoft Office
• Microsoft Sql Server
• Sqoop
• Hive
• Hdfs