I am a data professional with 7+ years of experience in information technology, focusing on data engineering, ETL, data modeling, and analytics. I design and implement data pipelines, build data warehouses, and enable data-driven decision making using AWS and Azure cloud platforms. I enjoy turning raw JSON/XML data into structured datasets and delivering dashboards with actionable insights. I am skilled at collaborating with cross-functional teams, ensuring data quality and governance, and leading ETL strategies. My toolkit includes Python, SQL, PySpark, and BI tools like Tableau and Power BI, and I continuously learn new technologies to enhance data-driven outcomes.

Prashanth P

I am a data professional with 7+ years of experience in information technology, focusing on data engineering, ETL, data modeling, and analytics. I design and implement data pipelines, build data warehouses, and enable data-driven decision making using AWS and Azure cloud platforms. I enjoy turning raw JSON/XML data into structured datasets and delivering dashboards with actionable insights. I am skilled at collaborating with cross-functional teams, ensuring data quality and governance, and leading ETL strategies. My toolkit includes Python, SQL, PySpark, and BI tools like Tableau and Power BI, and I continuously learn new technologies to enhance data-driven outcomes.

Available to hire

I am a data professional with 7+ years of experience in information technology, focusing on data engineering, ETL, data modeling, and analytics. I design and implement data pipelines, build data warehouses, and enable data-driven decision making using AWS and Azure cloud platforms. I enjoy turning raw JSON/XML data into structured datasets and delivering dashboards with actionable insights.

I am skilled at collaborating with cross-functional teams, ensuring data quality and governance, and leading ETL strategies. My toolkit includes Python, SQL, PySpark, and BI tools like Tableau and Power BI, and I continuously learn new technologies to enhance data-driven outcomes.

See more

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
See more

Work Experience

Sr. Data Engineer at JP MORGAN CHASE
May 1, 2024 - Present
Designed, developed, and implemented data pipelines; participated in requirement analysis; performance tuning of Informatica ETL mappings; handled large datasets (hundreds of millions of records) stored in CSV/Excel; worked with AWS services (EC2, S3, IAM, Redshift); leveraged Python (NumPy, Pandas) for analytics; developed complex SQL queries, stored procedures, and triggers in DB2; processed JSON/XML application logs for insights; created stored procedures for full and historical loads; built aggregated reports and dashboards in Power BI and Tableau; contributed to Enterprise Data Warehouse/Data Mart architecture using Azure Synapse Analytics and SQL Server; experience with SSIS and DTS for data import/export.
Data Engineer at Nationwide Insurance
May 1, 2023 - April 30, 2024
Generated data models and relational databases; performed data mapping for Apache Hive data warehouse; wrote PL/SQL and stored procedures in DB2; provided source-to-target mappings for ETL to perform initial, full, and incremental loads; migrated data/models from SQL Server to Oracle; developed SQL scripts to validate data integrity (duplicates, nulls, truncations) and correct aggregations; worked with structured and semi-structured data; collaborated with ETL SSIS developers to implement complex data transformations; designed Snowflake schemas (normalized and denormalized) to support analytical workloads; published dashboards/reports via Tableau; defined naming standards; created ad-hoc SQL queries to fetch data from legacy systems.
Data Analyst at MCS, Hyderabad, India
March 1, 2017 - November 30, 2021
As a Data Analyst, built data models and extracted data to solve business problems; crafted SQL queries and aggregation logic; automated information retrieval and data quality checks; produced Excel and Tableau-based reports and dashboards for leadership; analyzed construction delays to identify trends; utilized Pandas, NumPy, SciPy, and Scikit-learn for data analysis and machine learning workflows; designed large-scale distributed data solutions in AWS; applied Python libraries to enable data analytics and model prototyping.

Education

Add your educational history here.

Qualifications

Master’s in Computer Technology
January 11, 2030 - January 7, 2026
PG Diploma in Data Science
January 11, 2030 - January 7, 2026
Generative AI Fundamentals Academy Accreditation
January 11, 2030 - January 7, 2026

Industry Experience

Financial Services, Software & Internet, Professional Services