Neha Agarwal (Lead Data Engineer)

CEO

Mumbai, Maharashtra, India15 yrs 7 mos experience

Highly Stable

Key Highlights

13 years of expertise in data engineering and business analysis.
Proficient in advanced data pipeline construction.
Strong background in investment banking and finance.

Stackforce AI infers this person is a Data Engineering expert in the Finance industry.

Contact

Skills

Core Skills

Data EngineeringBusiness Analysis

Other Skills

Azure Data FactoryADLS Gen2SnowflakeSybaseSQLServerUnixPythonPySparkInformaticaGITAutosysSAP BusinessObjectsPL/SQLCrystal ReportsTortoise SVN

About

• Holding a B.Tech degree and PGDAC certification, I bring forth 13 years of expertise in data engineering, complex data pipelines and business analysis within the finance industry. • Currently engaged at Morgan Stanley in Mumbai as Lead Data Engineer • Proficient in utilizing a range of tools including Azure Data Factory, DataBricks, ADLS Gen2, Snowflake, Sybase, SQLServer, Unix, Python, PySpark, Informatica, GIT, Kafka, and Autosys. • Possessing an advanced understanding of stored procedures, triggers, partitions, primary keys, various indexes, and views. • Demonstrated experience in constructing intricate data pipelines and handling structured, semi-structured, unstructured and streaming data. • Well-versed in various DW paradigms such as Ralph Kimball and Bill Inmon methodologies. • Extensive knowledge and exposure in investment banking and the financial domain. • Quick to grasp new technical concepts and apply them effectively. • A collaborative team player with outstanding analytical, organizational, and communication skills.

Experience

15 yrs 7 mos

Total Experience

4 yrs 7 mos

Average Tenure

1 yr 9 mos

Current Experience

Msci inc.

Vice President

Sep 2024 – Present · 1 yr 9 mos · Mumbai, Maharashtra, India

Morgan stanley

2 roles

Vice President (Lead Data Engineer)

Promoted

Jan 2022 – Sep 2024 · 2 yrs 8 mos

Senior Manager (Senior Data Engineer)

Oct 2016 – Jan 2022 · 5 yrs 3 mos

Proficient in utilizing a range of tools including Azure Data Factory, ADLS Gen2, Snowflake, Sybase, SQLServer, Unix, Python, PySpark, Informatica, GIT, and Autosys.
Possessing an advanced understanding of stored procedures, triggers, partitions, primary keys, various indexes, and views.
Demonstrated experience in constructing intricate data pipelines and handling structured, semi-structured, unstructured and streaming data.
Well-versed in various DW paradigms such as Ralph Kimball and Bill Inmon methodologies.
Extensive knowledge and exposure in investment banking and the financial domain.
Quick to grasp new technical concepts and apply them effectively.
A collaborative team player with outstanding analytical, organizational, and communication skills.

Azure Data FactoryADLS Gen2SnowflakeSybaseSQLServerUnix+7

Credit suisse

Senior Data Engineer

Nov 2012 – Oct 2016 · 3 yrs 11 mos · India

Proficient in utilizing a range of tools including Azure Data Factory, ADLS Gen2, Snowflake, Sybase, SQLServer, Unix, Python, PySpark, Informatica, GIT, and Autosys.
Possessing an advanced understanding of stored procedures, triggers, partitions, primary keys, various indexes, and views.

Azure Data FactoryADLS Gen2SnowflakeSybaseSQLServerUnix+7