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Deepender Singh

Architect 18 years of professional experience. Domains : HCM ,Banking and Finance , Hi-Tech, Pharmaceutical , Healthcare , Education... | India

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Deepender Singh’s Location India

Deepender Singh’s Expertise Architect 18 years of professional experience. Domains : HCM ,Banking and Finance , Hi-Tech, Pharmaceutical , Healthcare , Education E governance ,HCM and Telecom domain. Databases: Oracle (Primary), MySQL, Mongo DB. AWS Cloud Databases: Aurora PostgreSQL, Redshift, DynamoDB. Languages: Python, SPARK Sql, PySpark,Scala. AWS Cloud Services: Data Migration Service, Schema Conversion Tool, S3, Lambda, Step Functions, Glue, EC2. Platform: Appian , Alteryx Big Data: Data Lake design, Databricks (Delta Engine, Change data feeds, data pipelines). Data Ingestion :- Golden Gate , Kafka, AWS DMS CDC Key Experience Summary • Involved in initial design strategies like Kimball / Inmon approaches for analytics data warehouse supporting 50K+ clients and distributed databases of size 12 * 16 TB. • Migration of Oracle ETL to AWS Aurora, Redshift and Data bricks. Efficient usage of AWS DMS for migration of data. Build data pipelines in Databricks environment using Delta Lake, Change Data Feed, Delta Live Tables and Spark SQL. • Analysed new Data Ingestion/Replicating technologies like Golden Gate, AWS SCT/DMS and KAFKA technologies for large distributed data warehouse (> 70 TB). • Database security features like Row level security, Redaction, encryption usage. Data Governance tools like Immuta feature analysis. • Performance Tuning(Oracle RAC and Redshift) – DB parameters tuning, Data modelling, and Query optimization keeping average response time less than < 8 seconds for around 100+ HCM metrics. • Designed Disaster Recovery policies and validation for the products in LIVE using database features. • Coding CI/CD pipelines in DevOps. • Conducting POCs in database technologies like sharding, document-oriented database models, multi tenancy, In -memory column stores, Row level securities and performance impact, DBT vs Databricks orchestration, Data Visualization tools performance. Thus, contributing to competitive pricing policies of products.

Deepender Singh’s Current Industry S And P Global

Deepender Singh’s Prior Industry
Tata Consultancy Services | Infogix | Mgrm Net | Adp | S And P Global

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Work Experience

S And P Global

Associate Director - Data Transformation

Thu Dec 01 2022 00:00:00 GMT+0000 (Coordinated Universal Time) — Present

Adp

Architect

Fri Mar 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jul 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)

Adp

Architect

Fri Mar 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time) — Sat Jul 01 2023 00:00:00 GMT+0000 (Coordinated Universal Time)

Adp

Senior Consultant(Data Architect/Performance Tuning)

Mon Jan 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time) — Fri Mar 01 2019 00:00:00 GMT+0000 (Coordinated Universal Time)

Mgrm Net

Manager Database Administration and Database Architect

Mon Feb 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Jan 01 2018 00:00:00 GMT+0000 (Coordinated Universal Time)

Infogix

Database Developer and Designer

Sun Jan 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time) — Mon Feb 01 2016 00:00:00 GMT+0000 (Coordinated Universal Time)

Tata Consultancy Services

ITA

Sun May 01 2005 00:00:00 GMT+0000 (Coordinated Universal Time) — Sun Jan 01 2012 00:00:00 GMT+0000 (Coordinated Universal Time)

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Deepender Singh Email Addresses

[email protected] Email

Deepender Singh Phone Number

No phone number available. Phone number

FAQ About Deepender Singh

Deepender Singh is located at
India

Deepender Singh is a
Architect 18 years of professional experience. Domains : HCM ,Banking and Finance , Hi-Tech, Pharmaceutical , Healthcare , Education E governance ,HCM and Telecom domain. Databases: Oracle (Primary), MySQL, Mongo DB. AWS Cloud Databases: Aurora PostgreSQL, Redshift, DynamoDB. Languages: Python, SPARK Sql, PySpark,Scala. AWS Cloud Services: Data Migration Service, Schema Conversion Tool, S3, Lambda, Step Functions, Glue, EC2. Platform: Appian , Alteryx Big Data: Data Lake design, Databricks (Delta Engine, Change data feeds, data pipelines). Data Ingestion :- Golden Gate , Kafka, AWS DMS CDC Key Experience Summary • Involved in initial design strategies like Kimball / Inmon approaches for analytics data warehouse supporting 50K+ clients and distributed databases of size 12 * 16 TB. • Migration of Oracle ETL to AWS Aurora, Redshift and Data bricks. Efficient usage of AWS DMS for migration of data. Build data pipelines in Databricks environment using Delta Lake, Change Data Feed, Delta Live Tables and Spark SQL. • Analysed new Data Ingestion/Replicating technologies like Golden Gate, AWS SCT/DMS and KAFKA technologies for large distributed data warehouse (> 70 TB). • Database security features like Row level security, Redaction, encryption usage. Data Governance tools like Immuta feature analysis. • Performance Tuning(Oracle RAC and Redshift) – DB parameters tuning, Data modelling, and Query optimization keeping average response time less than < 8 seconds for around 100+ HCM metrics. • Designed Disaster Recovery policies and validation for the products in LIVE using database features. • Coding CI/CD pipelines in DevOps. • Conducting POCs in database technologies like sharding, document-oriented database models, multi tenancy, In -memory column stores, Row level securities and performance impact, DBT vs Databricks orchestration, Data Visualization tools performance. Thus, contributing to competitive pricing policies of products. S And P Global

Deepender Singh currently works in the
S And P Global

Deepender Singh specializes in
Architect 18 years of professional experience. Domains : HCM ,Banking and Finance , Hi-Tech, Pharmaceutical , Healthcare , Education E governance ,HCM and Telecom domain. Databases: Oracle (Primary), MySQL, Mongo DB. AWS Cloud Databases: Aurora PostgreSQL, Redshift, DynamoDB. Languages: Python, SPARK Sql, PySpark,Scala. AWS Cloud Services: Data Migration Service, Schema Conversion Tool, S3, Lambda, Step Functions, Glue, EC2. Platform: Appian , Alteryx Big Data: Data Lake design, Databricks (Delta Engine, Change data feeds, data pipelines). Data Ingestion :- Golden Gate , Kafka, AWS DMS CDC Key Experience Summary • Involved in initial design strategies like Kimball / Inmon approaches for analytics data warehouse supporting 50K+ clients and distributed databases of size 12 * 16 TB. • Migration of Oracle ETL to AWS Aurora, Redshift and Data bricks. Efficient usage of AWS DMS for migration of data. Build data pipelines in Databricks environment using Delta Lake, Change Data Feed, Delta Live Tables and Spark SQL. • Analysed new Data Ingestion/Replicating technologies like Golden Gate, AWS SCT/DMS and KAFKA technologies for large distributed data warehouse (> 70 TB). • Database security features like Row level security, Redaction, encryption usage. Data Governance tools like Immuta feature analysis. • Performance Tuning(Oracle RAC and Redshift) – DB parameters tuning, Data modelling, and Query optimization keeping average response time less than < 8 seconds for around 100+ HCM metrics. • Designed Disaster Recovery policies and validation for the products in LIVE using database features. • Coding CI/CD pipelines in DevOps. • Conducting POCs in database technologies like sharding, document-oriented database models, multi tenancy, In -memory column stores, Row level securities and performance impact, DBT vs Databricks orchestration, Data Visualization tools performance. Thus, contributing to competitive pricing policies of products.