Nagamahesh Cheedella Email & Phone Number | 10+ years of overall experience in Software engineer. 7+ years of comprehensive experience in BigData Technologies As Lead Engineer strongly believes in a data engineer core skills lies in designing, building robust and reliable ETL pipelines and at the same time they are closely tied with infrastructure, different tools and services. Depending up on factors like type of use case, volume of the data processing, storing the data, understanding of multiple areas like infrastructure, clusters, distributed processing, which tool or cloud service suits best to meet the needs plays a key role in designing the maintainable and cost-efficient platform for the application Technical skills, Roles and Responsibilities: Expertise and strong hand on experience with object oriented and functional programming language like Scala, Java and J2EE in data engineering and web applications Design, implement and ownership end to end ETL pipelines starting from ingestion of data sources into the system includes modelling, data quality, validations, cleansing, parsing, processing , incremental runs, updates , maintaining the metadata Processing, performance tuning and optimisation for huge volume of data ~336 millions of records, tera bytes of data like third party corporate registry datasets like Dun & Bradstreet , BVD with Spark and Scala to benchmarking NFT run times Expertise in designing and working with complex projects which has 13 plus ELT pipelines Good experience in shell script, Hive, Elastic Search ,GCP cloud and its services, Webservices, Spring framework, Java Script. Architecture: Strong understanding of Quantexa components, application tiers and the platform design Proposed and designed cost efficient cloud services, best practises and sizing the hardware of native/cloud which involves in ETL job runs, apps(micro services) deployment for the product Making sure the mid-tier 11 apps (micro services) deployments for the Quantexa is scalable, monitored and has high availability in the Kubernetes orchestration Stakeholder Management: Working with stakeholders to understand the current problems and proposed the solutions and leading the implementation, overseeing and planning the workbook from technical standpoint Domain Expertise: Good domain experience in Banking sector, specialised in solutioning in KYC, Anti money laundering, Financial crime and special areas like Core Banking, Correspondent Banking, Trade Finance and Capital Markets. Good experience in Insurance sector with home and vehicle insurance. Holding B1 Visa(USA) valid until 2026.

Nagamahesh Cheedella

10+ years of overall experience in Software engineer. 7+ years of comprehensive experience in BigDat...
London, London, United Kingdom

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Nagamahesh Cheedella’s Email nagamahesh.cheedella@nxwave.co.uk

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Nagamahesh Cheedella’s Location London, London, United Kingdom

Nagamahesh Cheedella’s Current Industry Nextwave Consulting

Nagamahesh Cheedella’s Prior Industry Synechron | Accenture | Anjanasoft

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Work Experience

Nextwave Consulting

Technical Manager

2023-09-01 00:00:00 - Present

Synechron

Lead - Technology

2020-04-01 00:00:00 - 2021-11-01 00:00:00

Accenture

Application Development Senior Analyst

2017-07-01 00:00:00 - 2017-12-01 00:00:00

Anjanasoft

Senior Programmer

2013-05-01 00:00:00 - 2017-07-01 00:00:00

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FAQ About Nagamahesh Cheedella

Nagamahesh Cheedella is located at
London, London, United Kingdom

Nagamahesh Cheedella is a 10+ years of overall experience in Software engineer. 7+ years of comprehensive experience in BigData Technologies As Lead Engineer strongly believes in a data engineer core skills lies in designing, building robust and reliable ETL pipelines and at the same time they are closely tied with infrastructure, different tools and services. Depending up on factors like type of use case, volume of the data processing, storing the data, understanding of multiple areas like infrastructure, clusters, distributed processing, which tool or cloud service suits best to meet the needs plays a key role in designing the maintainable and cost-efficient platform for the application Technical skills, Roles and Responsibilities: Expertise and strong hand on experience with object oriented and functional programming language like Scala, Java and J2EE in data engineering and web applications Design, implement and ownership end to end ETL pipelines starting from ingestion of data sources into the system includes modelling, data quality, validations, cleansing, parsing, processing , incremental runs, updates , maintaining the metadata Processing, performance tuning and optimisation for huge volume of data ~336 millions of records, tera bytes of data like third party corporate registry datasets like Dun & Bradstreet , BVD with Spark and Scala to benchmarking NFT run times Expertise in designing and working with complex projects which has 13 plus ELT pipelines Good experience in shell script, Hive, Elastic Search ,GCP cloud and its services, Webservices, Spring framework, Java Script. Architecture: Strong understanding of Quantexa components, application tiers and the platform design Proposed and designed cost efficient cloud services, best practises and sizing the hardware of native/cloud which involves in ETL job runs, apps(micro services) deployment for the product Making sure the mid-tier 11 apps (micro services) deployments for the Quantexa is scalable, monitored and has high availability in the Kubernetes orchestration Stakeholder Management: Working with stakeholders to understand the current problems and proposed the solutions and leading the implementation, overseeing and planning the workbook from technical standpoint Domain Expertise: Good domain experience in Banking sector, specialised in solutioning in KYC, Anti money laundering, Financial crime and special areas like Core Banking, Correspondent Banking, Trade Finance and Capital Markets. Good experience in Insurance sector with home and vehicle insurance. Holding B1 Visa(USA) valid until 2026.