Esha Aishwarya

Data Management Associate

2+ yrs exp 85 · Excellent

About

Data & AI professional with experience across Data Management, Data Engineering, Business Analysis, SQL, cloud data platforms, and AI-driven automation. Experienced in translating business requirements into data solutions, stakeholder collaboration, data quality, testing, ETL pipelines, and process automation. Currently supporting commercial banking data initiatives at Wells Fargo while working on AI agents, data lineage, lending automation, chatbot, and process improvement initiatives.

Skills & Expertise (58)

SQL Advanced

8.0/10

Years Exp

Python Advanced

8.0/10

Years Exp

AI Agents Intermediate

7.0/10

Years Exp

Data Management Intermediate

7.0/10

Years Exp

AWS Intermediate

7.0/10

Years Exp

Databricks Intermediate

7.0/10

Years Exp

Data Warehousing Intermediate

7.0/10

Years Exp

ETL Pipelines Intermediate

7.0/10

Years Exp

Power BI Intermediate

6.5/10

Years Exp

SparkSQL Intermediate

6.5/10

Years Exp

Docker Intermediate

6.0/10

Years Exp

Kubernetes Intermediate

6.0/10

Years Exp

Seaborn Problem Solving OpenAI APIs Copilot Power Automate process automation Pandas NumPy Selenium BeautifulSoup Flask Matplotlib Data Structures & Algorithms pdfplumber Communication OpenpyXL Leadership Teamwork OOPs Tableau Git Advanced Excel Talend PySpark Postgresql MongoDb SQLite NoSQL C/C++ Java HTML CSS JavaScript Apache Spark Generative AI DBeaver Airflow Azure SFTP Snowflake Data Quality Data Lineage Jira SIT UAT Stakeholder Management

Work Experience

Data Management Associate

Wells Fargo

Mar 2026 - Present

Work across functional and technical Data Management, supporting commercial banking initiatives and translating business requirements into data solutions. Analyze and provision commercial banking datasets, creating curated SQL-based data views for downstream applications and stakeholders. Collaborate with business stakeholders, data owners, and developers; manage data requests and change requirements through JIRA using JQL. Execute SIT, UAT, and production testing; perform data validation and reconciliation; contribute to DQ integration by creating checks for new columns and validating existing DQs. Build knowledge across Commercial Banking, Investment Banking, and Lending; work on AI Agents, data lineage, lending, Power Automate, Copilot, centralized chatbot, and the Central Data Management Demand Portal.

Data Engineer

Genpact

Oct 2024 - Mar 2026

Migrated PostgreSQL workloads to Spark SQL for Greenplum → Databricks migration, improving query performance by 35%. Built and optimized AWS + Databricks ETL pipelines, reducing data latency by 40% and improving reporting efficiency. Implemented Medallion architecture (Bronze–Silver–Gold) pipelines and automated SFTP/S3 → ADLS ingestion, reducing manual processing effort by 80%.

Data Engineer Intern

Genpact

Feb 2024 - Jul 2024

Automated Python-based ETL pipelines integrating AWS and MongoDB, reducing manual processing effort by 40% and improving data availability by 90%. Developed an AI-powered invoice reconciliation system using GPT3.5, fuzzy matching, and PDF parsing, achieving 95% accuracy and reducing manual work by 70%.

Data Analyst Intern

EatClub

May 2023 - Jul 2023

Designed SQL-based analytics dashboards in Redash, improving reporting efficiency and query performance by 30%. Conducted geospatial and statistical analysis to optimize outlet site selection and support expansion decisions.