Satish Chandra

Data Engineering Manager at Accenture AI

Role: Data Engineering Manager at Accenture
Location: Pune, MH, IN
LinkedIn followers: 500 followers

Information TechnologyView LinkedIn profile

About Satish Chandra

Professional Summary• I have work experience of 14 years in data engineering, currently working as Data Engineering Manager with Accenture AI• Worked across domains such as Banking, Healthcare and Telecom• Working in agile and DevOps, CI/CD pipeline methodology, engaged directly with the client team, provided/took feedback on design, suggested/implemented optimal solutions, and tailored applications to meet business requirements and following standards.• Experience in developing data pipelines using a mix of languages (Python, SQL, SAS etc.) and open-source frameworks to implement data ingest, processing, and analytics technologies.• Experience in migration of oracle and SAS ETL jobs to Apache Spark and data storage to AWS S3 buckets• Proficient in Data Warehouse design and implementation, mapping data from source to data model• Build cloud native data warehouse in GCP BigQuery• Provisioning of GCP resources using Terraform• Defect Management, impact analysis and Release management• Mapping and tracing user requirements with test cases to ensure that for each requirement adequate level of testing is being achievedTechnical Skills• Big Data Apache Spark, Hive Metastore, AWS EMR, S3 (cloud storage), GCP Cloud Function, BigQuery, DataProc• DevOps Azure devOps, GIT, CI/CD• Database Oracle• Programming Python, Pyspark, SAS Base and Advance Programming, SQL• Scripting Unix shell scripting • Scheduler Airflow, Azure pipeline and IBM platform Flow Manager

Experience

Data Engineering Manager
Accenture
Sep 2021 — Present · Pune, IN
Pune, Maharashtra, India

Contact information

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Current company

Accenture

Business Consulting and Services · 10K employees · Grand Canal Harbour, Dublin 2, IE

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 786,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com. This LinkedIn company page is moderated. When engaging with Accenture, we encourage everyone to: - Use common courtesy and be respectful of others. - Create your own original content and avoid content that you know to be fraudulent. - Never repost someone else's copyrighted work, unless you have permission. - Never post personal, identifying, or confidential information. We reserve the right to delete comments or posts we deem to be: - Profane, obscene, inappropriate, offensive, abusive material. - Spam, repeated comments and commercial messages and personal advertisements. - Discriminatory or that contain hateful speech of any kind regarding age, gender, race, religion, nationality, sexual orientation, gender identity or disability. - Threats; personal attacks; abusive, defamatory, derogatory, or inflammatory language; or stalking or harassment of any individual, entity or organization. - False, inaccurate, libelous, or otherwise misleading in any way.

accenture.com

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