Pavan Sai Email & Phone Number

Fremont, Ca, Us

Boise, Idaho, United States

In recent endeavors, I've been deeply immersed in optimizing data processes within Azure environments, utilizing automated anomaly detection algorithms in Azure Data Lake and Azure Databricks to ensure data quality assurance through proactive identification of outliers and unusual patterns. Additionally, I meticulously created and maintained dependency maps for Azure Data Factory pipelines, facilitating effective change management and ensuring smooth operations. My proficiency extends across various Azure services including Azure Data Factory, Azure Data Lake Storage, Azure Synapse Analytics, and Azure Analytical services, coupled with expertise in statistical testing using Python's SciPy and Stats models.Furthermore, I've developed interactive dashboards for real-time data visualization and exploration using Python (Dash, Plotly) and R (Shiny), while defining data cleansing and profiling rules using SQL to uphold data quality standards. I've executed data migration projects, optimized MySQL database performance, and implemented security measures within PostgreSQL databases to ensure data confidentiality and compliance with industry regulations. Moreover, I've conducted in-depth statistical analyses using SAS, utilized Hadoop's MapReduce and Apache Spark for data transformation, and leveraged data ingestion frameworks like Apache NiFi and Apache Flume to streamline data collection into Hadoop clusters.

New York, United States

In my role, I've been instrumental in leveraging AWS services to streamline data management and analytics processes. This involved integrating AWS EMR and EC2 with AWS Glue or other data catalogs to establish a centralized metadata repository, facilitating efficient data discovery and collaboration. Additionally, I orchestrated ETL workflows on the AWS cloud, utilizing AWS Glue, S3, and AWS Lambda to extract, transform, and load data into AWS Redshift, ensuring data integrity and reliability. I also maintained Python models for code reviews, data checks, and bug fixes, while enforcing data governance best practices and comprehensive documentation in Python and R projects to promote transparency and accountability.Furthermore, I demonstrated proficiency in SQL for programmatic tasks, data quality reviews, and metadata analysis, employing advanced querying techniques and transaction data manipulation. My experience extends to optimizing MySQL and PostgreSQL database performance through index tuning, query optimization, and security management, ensuring the confidentiality and integrity of sensitive information. I also contributed to structured data modeling using Waterfall methodology, developed automated scripts and processes in SAS to streamline tasks, and implemented Hadoop security features for data protection and regulatory compliance. Additionally, I adeptly managed QlikView licenses, optimized applications for enhanced performance, and utilized Power BI and Google Analytics to create custom reports and dashboards for effective communication of key performance indicators. Lastly, my proficiency in Jupyter Notebook extends to geospatial data analysis, employing libraries like GeoPandas and Folium for visualization and interpretation of spatial patterns while optimizing code performance for efficient data analysis.

Mumbai, Maharashtra, India

In my role, I've been deeply involved in optimizing data processes, particularly within Azure environments. I seamlessly integrated Azure Data Lake with business intelligence tools, facilitating intuitive visualization and reporting. Through custom Azure Data Factory Pipeline Activities, I orchestrated efficient on-cloud ETL processing, ensuring smooth data movement and transformation. Leveraging Python and R, I conducted sophisticated analyses and expanded data sources through web scraping, enriching our insights. Additionally, I focused on database performance optimization, maintaining high data quality standards, and crafting compelling visualizations in SAS, all while enforcing robust security measures in Hadoop.Furthermore, I played a pivotal role in enhancing user adoption of Tableau and ensuring version control in QlikView applications. Lastly, I prioritized transparency and replicability through the creation of reproducible research pipelines in Jupyter Notebooks, contributing to audit and validation processes.

Mumbai, Maharashtra, India

In my role, I led comprehensive security measures within our AWS infrastructure, conducting routine audits and vulnerability assessments on S3 buckets using Amazon Macie and other tools. This ensured the identification and swift remediation of potential security risks, bolstering our data protection protocols. Additionally, I spearheaded the optimization of our cloud resources through automated scaling policies for EMR and EC2 instances, dynamically adjusting resource allocation to match workload fluctuations. This not only ensured peak performance during high-demand periods but also generated significant cost savings during off-peak hours, aligning our operations with efficiency and budgetary goals.Furthermore, I expanded our data acquisition capabilities by employing Python and R for web scraping, enriching our datasets with relevant information from various online sources. Integrating SQL solutions with data analytics tools enhanced our analytical ecosystem's coherence and efficiency, while strategies for database scalability and utilization of PostgreSQL's compression techniques optimized storage and query performance. I also excelled in translating complex data insights into easily digestible visuals, leveraging SAS for impactful data visualization and Tableau for crafting compelling narratives within dashboards, catering to diverse audiences. Additionally, my expertise extended to implementing robust data governance practices within the Hadoop ecosystem, ensuring compliance with organizational standards and regulations, and developing automated reporting mechanisms in QlikView for streamlined distribution of key insights to stakeholders. My proficiency with Jupyter Notebooks facilitated exploratory data analysis, empowering informed decision-making through the identification of patterns, trends, and anomalies that drove strategic business initiatives.