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About
Satish Vadlamani is the Vice President of Strategic Business Analytics & Reporting at JPMorgan Chase & Co., with over 12 years of experience in information technology. He specializes in data solutions, application development, big data, and business intelligence (BI), with extensive expertise in data architecture, database design, and ETL processes. His proficiency spans a wide range of technologies, including Hadoop, Teradata, Tableau, and various database platforms.
Satish has a strong background in data migration from RDBMS to NoSQL systems, and he excels in performance tuning and query optimization. His experience includes working on large-scale data analytics projects, particularly in customer analytics and behavioral data science, utilizing tools like Tableau and R.
He previously worked at Tech Mahindra, focusing on Teradata solutions for retail banking clients. Satish holds a Bachelor’s degree in Electrical and Electronics Engineering and completed a Certificate Course in Business Analytics from the Indian School of Business.
Recognized for his strategic mindset and technical acumen, he effectively drives data-driven decision-making within organizations, ensuring that complex data environments are optimized for business needs. With a strong focus on innovation, Satish is committed to leveraging data to create impactful business solutions.
Satish Vadlamani is a seasoned IT professional with over 20 years of experience across three countries, specializing in data architecture, analytics, business intelligence, and cloud technologies. His extensive career spans leadership roles in major financial institutions and IT consulting firms, with a strong foundation in global delivery models and transformational projects. Currently serving as Vice President of Strategic Business Analytics & Reporting at J.P. Morgan Chase, he leads the design and deployment of corporate finance data marts on platforms like Databricks and Snowflake, consolidating disparate data sources, integrating systems, and implementing advanced analytics solutions to support business growth and regulatory compliance. His expertise in data wrangling, ETL tools like Informatica and Alteryx, and programming languages such as Python and R has enabled the development of data-driven insights, business intelligence dashboards, and performance tracking scorecards that drive strategic decision-making. His role also involves managing service transitions, implementing best practices for release management, and optimizing application stability. Prior to his current role, he worked as a Database Performance Engineer at J.P. Morgan Chase, ensuring the efficiency of production databases, analyzing query performance, and implementing data quality controls. His experience includes working with big data ecosystems such as Hadoop, MongoDB, and Teradata while leveraging tools like Tableau for visualization. Before joining J.P. Morgan Chase, he served as an Application Development Lead, designing enterprise data warehouse solutions and optimizing database performance. His tenure at Barclays Bank through Mahindra Satyam saw him involved in large-scale data migration projects, building data marts, and enhancing business intelligence frameworks. His strong technical acumen includes expertise in Unix/Linux systems, cloud computing (AWS), and various database technologies, complemented by a deep understanding of data modeling, system integration, and data governance. He holds a Bachelor's degree in Electrical and Electronics Engineering from Osmania University and has completed a certificate program in Business Analytics from the Indian School of Business (ISB). Throughout his career, he has demonstrated a commitment to innovation, problem-solving, and delivering high-quality data solutions that enhance business operations. His leadership in analytics, combined with his technical expertise and strategic mindset, has enabled organizations to harness the power of data for competitive advantage. His ability to navigate complex data ecosystems, integrate emerging technologies, and drive digital transformation makes him a key contributor to the evolving field of data and analytics. With a strong focus on data integrity, performance optimization, and cross-functional collaboration, Satish Vadlamani continues to be a driving force in shaping enterprise data strategies, leveraging his diverse experience to foster efficiency, scalability, and actionable insights in business analytics and reporting.
Skills & Expertise
AWS
python
Databricks
Tableau
HDFS
Greenplum
SNOWFLAKE
Cognos
Teradata
Python
Linux
Oracle
Hadoop
SQL Server
Data modeling
MongoDB
Data Warehousing
R
NoSQL
Hive
Cassandra
Snowflake
DB2
Informatica
Data Migration
BTEQ
TPUMP
MongoDb
MongoDb
Alteryx
TERADATAV2R6/V2R5
Imapala
Hue
Exadata
Ab-Initio
Erwin
Unix/Linux Systems
Data Warehousing
Research Interests
data analytics
Business Analytics
Release Management
Business intelligence
Data modeling
Data governance strategies
Digital Transformation
Cloud Technologies
Performance Optimization
Data Architecture
Data Wrangling
Corporate Finance Data Marts
Advanced Analytics Solutions
Strategic Decision-Making
Production Databases
Query Performance Analysis
Enterprise Data Warehouse
Business Intelligence Frameworks
Transformational Projects
Data Governance
Connect With Me
Experience
Vice President
- Design and deploy a sustainable Corporate Finance Datamart on Databricks that would keep pace with ever evolving business needs of budgeting and regulatory reporting needs of Paymentcch Organization Consolidate/Integrate disparate data sources available across the organization like Salesforce CRM and payroll systems that are based on Oracle, SQL Server, Teradata, and Hadoop Ecosystem into Corporate Data Mart on SNowflake - using ETL/Data Wrangling tools like Informatica, Alteryx, and SQL to enable single source and version of truth for reporting needs Lead projects end to end and work with multiple stakeholders across the business and IT to design, develop and deliver transformational analytical initiatives using tools like R, Python, and Alteryx aimed at driving growth in bot the Topline and Bottomline of the merchant Services Organization Develop and implement data analytical capabilities using Pipeline data to ensure integrity and optimize efficiency of Field Sales team Build business intelligence and data visualization for the analytical initiatives using tools like Tableau Design, develop, and maintain individual/ team-based scorecards across Sales and Support teams tracking qualitative/quantitative key performance metrics Identify, analyze, and interpret trends or patterns in complex data sets. Preparation and presentation of key analysis to diverse audiences Responsible to support process improvements and eliminate bottlenecks to continuously improve the stability/performance of the applications that are used to analyze data pulled from disparate data sources Perform service transition of data collection systems built using various other Data Wrangling/ETL tools like Ab- Initio, Informatica and Alteryx from development to support Implement best control practices and procedures for Release management and Source code versioning using tools like JIRA and GitHub
Education
Indian School of Business (ISB), Hyderabad
Osmania University
Peer-Reviewed Articles (52)
As organizations increasingly rely on data to drive business strategies and decisions, the role of data analytics and business intelligence (BI) continues to evolve. The year 2024 marks a significant...
In today’s data-driven business environment, organizations are increasingly investing in data analytics and business intelligence (BI) solutions to stay competitive, improve decision-making, and enhance operational efficiency. While these technologies have...
Digital transformation is no longer a buzzword; it is a critical aspect of the strategic growth of large corporations. With the increasing complexity of business environments, fueled by rapid technological...
In an era where corporate sustainability is becoming an essential aspect of long-term business success, organizations are turning to data analytics and business intelligence (BI) solutions to drive improvements in...
In today's data-driven business environment, organizations are increasingly adopting self-service Business Intelligence (BI) solutions to enable a broader range of employees, including those without technical backgrounds, to make data-driven decisions....
Role in Research Journals (1)
Editorial Board Member
IJEDR
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