Indu Singh

Background

About Indu Singh

Over a decade of progressive industry experience as a seasoned Data Engineer/Senior Data Analyst, specializing in Database Engineering, Business Intelligence, Analysis, and Visualization within EDM and EDW applications. Proficient in leveraging critical thinking and strategic client management to deliver innovative, long-term enterprise solutions driving business growth. • Expertise lies in crafting robust and scalable data digitalization solutions and integrations for clients, utilizing tools such as MS-SSIS, Informatica, and showcasing versatility in Data Analysis tools like SSMS, MySQL, Teradata, Python, Oracle, DB2, and PostgreSQL. Additionally, adept in BI Dashboard tools, including PowerBI, Tableau, Qlikview, and PowerPoint. • A key contributor to data management delivery and operations, offering valuable insights into scope and impact, devising action plans with tactical delivery strategies. Focused on intensive data analysis, predictive modeling, KPI visualizations, and gap/root cause analysis. Proficient in architecting data pipelines and workflows to facilitate the implementation of new data schemas and models in EDW and EDM applications. • Proficiency extends to DevOps Deployment strategies, encompassing DevOps Azure, AWS DevOps, Git CI, Bamboo, Jenkins, OSS, and Docker. Well-versed in various delivery models, including Agile, Kanban, and Lean. Holds certifications as a PMP Agile practitioner and CSPO. • Demonstrated ability to swiftly grasp complex issues and utilize industry versatility to foster collaboration among cross-functional teams, achieving desired outcomes. Technical Skills • ETL Tools – MS SSIS, Informatica Power Center 9/10 • BI Tools – Qlikview, Tableau, Power BI • Cloud/Big Data Tools – Azure Cloud, Amazon AWS cloud (EC2, S3, Cloud Watch, Glue, CloudPipe), Google Cloud (Compute Engine, Storage, VPC), Hive, Impala, Hadoop, Sqoop, • Database and Data Warehouse – Oracle, Teradata, IBM DB2, MS SQL Server 12, Snowflake, Google BigQuery, Cloudera