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I am a data analyst with over 4 years of experience in financial services and technology, specializing in ETL development, data pipelines, and business intelligence. I enjoy turning complex data into clear, actionable insights and collaborating with cross-functional teams to drive efficiency and regulatory compliance. I am proficient in SQL, Python, MongoDB, SSIS, Apache Airflow, AWS Glue, and Azure Data Services, and I love building interactive dashboards in Tableau, Power BI, and Alteryx to support accurate forecasting and informed decision-making. I have delivered scalable analytics across AWS, Azure, and GCP and have applied machine learning models for risk prediction and anomaly detection.…I am a data analyst with over 4 years of experience in financial services and technology, specializing in ETL development, data pipelines, and business intelligence. I enjoy turning complex data into clear, actionable insights and collaborating with cross-functional teams to drive efficiency and regulatory compliance. I am proficient in SQL, Python, MongoDB, SSIS, Apache Airflow, AWS Glue, and Azure Data Services, and I love building interactive dashboards in Tableau, Power BI, and Alteryx to support accurate forecasting and informed decision-making. I have delivered scalable analytics across AWS, Azure, and GCP and have applied machine learning models for risk prediction and anomaly detection.

Ritika Kalyani

Data Analyst, Data Scientist, Data Collector, +2

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I am a data analyst with over 4 years of experience in financial services and technology, specializing in ETL development, data pipelines, and business intelligence. I enjoy turning complex data into clear, actionable insights and collaborating with cross-functional teams to drive efficiency and regulatory compliance. I am proficient in SQL, Python, MongoDB, SSIS, Apache Airflow, AWS Glue, and Azure Data Services, and I love building interactive dashboards in Tableau, Power BI, and Alteryx to support accurate forecasting and informed decision-making. I have delivered scalable analytics across AWS, Azure, and GCP and have applied machine learning models for risk prediction and anomaly detection.…I am a data analyst with over 4 years of experience in financial services and technology, specializing in ETL development, data pipelines, and business intelligence. I enjoy turning complex data into clear, actionable insights and collaborating with cross-functional teams to drive efficiency and regulatory compliance. I am proficient in SQL, Python, MongoDB, SSIS, Apache Airflow, AWS Glue, and Azure Data Services, and I love building interactive dashboards in Tableau, Power BI, and Alteryx to support accurate forecasting and informed decision-making. I have delivered scalable analytics across AWS, Azure, and GCP and have applied machine learning models for risk prediction and anomaly detection.

Available to hire

I am a data analyst with over 4 years of experience in financial services and technology, specializing in ETL development, data pipelines, and business intelligence. I enjoy turning complex data into clear, actionable insights and collaborating with cross-functional teams to drive efficiency and regulatory compliance.

I am proficient in SQL, Python, MongoDB, SSIS, Apache Airflow, AWS Glue, and Azure Data Services, and I love building interactive dashboards in Tableau, Power BI, and Alteryx to support accurate forecasting and informed decision-making. I have delivered scalable analytics across AWS, Azure, and GCP and have applied machine learning models for risk prediction and anomaly detection.

Skills

Experience Level

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Expert

Intermediate

Intermediate

Intermediate

Work Experience

Data Analyst at JP Morgan Chase

March 1, 2025 - November 5, 2025

Automated and optimized ETL workflows using SQL, Python, and Apache Airflow to process 200K+ daily financial transactions. Built and maintained 15+ interactive dashboards in Alteryx to provide senior leadership with insights into trading, cash management, and securities revenue, enabling faster data-driven decisions. Performed exploratory data analysis on datasets with 1M+ rows to identify trends and anomalies, improving quarterly forecasting. Designed and implemented data validation and governance frameworks, improving reporting accuracy and saving staff hours in reconciliation tasks. Partnered with risk, compliance, and finance teams to translate business needs into analytical solutions and ensure regulatory alignment. Applied machine learning models in Python to predict risk patterns and detect anomalies in transaction data.

Systems Engineer at Infosys

April 1, 2023 - April 1, 2023

Developed and automated ETL workflows using SQL, Python, MongoDB, and AWS Glue, processing 120K+ daily records and reducing manual reporting effort by several hours per week. Built 6+ interactive dashboards in Tableau visualizing operational and customer data pulled from AWS S3 and MongoDB to deliver actionable insights that improved decision-making in quarterly reviews. Conducted data validation and consistency checks across MongoDB collections and AWS RDS datasets, enhancing reporting accuracy and minimizing discrepancies in compliance reports. Performed exploratory data analysis (EDA) on datasets with 400K+ documents stored in AWS S3, identifying usage patterns, anomalies, and optimization opportunities to support cost-saving strategies. Collaborated with cross-functional teams to translate client requirements into scalable MongoDB- and AWS-based analytics solutions, improving process efficiency and reducing reporting turnaround by several business days.

Data Analyst at Dell Technologies

July 1, 2021 - July 1, 2021

Automated and maintained ETL workflows using SSIS, Python, and Azure Data Services (ADS), reducing manual processing time by several hours per cycle and enabling near real‑time reporting. Built and optimized SSIS data pipelines handling 200K+ daily records across finance, sales, and customer operations, improving enterprise-wide reporting efficiency during monthly cycles. Developed and deployed 10+ interactive dashboards in Power BI, providing actionable insights that supported leadership decision-making and improved revenue forecasting. Collaborated with cross-functional teams to translate 10+ business requirements into technical solutions, driving measurable cost savings and long-term process improvements. Implemented automated data validation and governance frameworks within SSIS packages, improving reporting accuracy and ensuring compliance with internal and regulatory standards. Optimized PySpark transformations and SSIS workflows in big data environments, reducing pipeline runt