Ishika Bansal

Associate Consultant

Bengaluru, Karnataka, India5 yrs 1 mo experience

Most Likely To SwitchHighly Stable

Key Highlights

4+ years of experience in data engineering.
Expertise in building scalable data platforms.
Passionate about data quality and automation.

Stackforce AI infers this person is a Data Engineer specializing in Fintech with a focus on scalable data solutions.

Contact

Skills

Core Skills

EtlData EngineeringData Reliability

Other Skills

AWSAirflowAndroid DevelopmentApache SparkAutosysBambooC (Programming Language)C++CommunicationData StructuresDatabase Management System (DBMS)DatabricksGitHadoopJava

About

Data Engineer with 4+ years of experience designing scalable data platforms using Spark, Kafka, and Databricks. I’ve worked on migrations to Airflow, built real-time streaming pipelines, and developed observability solutions supporting critical data workflows. I focus on reliability, automation, and data quality at scale—enabling faster insights and more resilient systems. Passionate about simplifying complex pipelines and driving platform maturity in modern data ecosystems.

Experience

5 yrs 1 mo

Total Experience

5 yrs 1 mo

Average Tenure

5 yrs 1 mo

Current Experience

Goldman sachs

3 roles

Associate

Dec 2023 – Present · 2 yrs 6 mos · On-site

Analyst

May 2021 – Dec 2023 · 2 yrs 7 mos · On-site

Implemented application modules to build various ETL pipelines.
Effectively managed to build various scripting deployments for continuous integration with the existing code base in gitlab CI/CD.
Built various scalable libraries to modularise the existing codes as well as the upcoming additions to the same.
Setup workflow management of ETL pipelines to an efficient scheduling and monitoring platform of Airflow.
Effectively managed independent projects as well as collaborate as a part of productive team functioning.
Worked on technical solutions and implementation designs of data modelling for various ETL projects.
Optimised existing ETL scripts to help reduce the execution overhead and enhance resource utilisation.
Designed and setup various workflows in Databricks for analytical layer loads.
Toolset : Python, Pyspark, Snowflake, Databricks, AWS, Git, Bamboo, Airflow, Autosys, SQL, Unix Scripting

PythonPysparkSnowflakeDatabricksAWSGit+7

Summer Analyst

May 2020 – Jun 2020 · 1 mo · Bengaluru, Karnataka, India · Remote

Developed an automated scalable framework of a verification service to ensure data reliability between the raw ODS layer and the refined layer.
Setup PagerDuty API Integration for the team projects for scheduling and alert generation to allow efficient operations and agility.
Toolset : Python, Spark, Oracle, SQLAlchemy, Unix Scripting

PythonSparkOracleSQLAlchemyUnix ScriptingData Reliability