Maher Sarosh Abdul Email & Phone Number

United States

United States

Columbia, South Carolina, United States

I designed and implemented scalable data ingestion pipelines using Azure Data Factory to handle data from diverse sources such as Azure SQL databases, CSV files, and REST APIs. Integration with Azure Logic Apps allowed for orchestrating complex workflows, while Azure Synapse Analytics facilitated big data processing and exploration. Additionally, I developed Azure Functions for preprocessing, enrichment, and validation within these pipelines, and maintained data validation routines in Informatica to ensure accuracy and consistency across systems.In my role, I implemented advanced data transformation strategies using Informatica transformations and employed data security measures in Python scripts to protect sensitive information. My work involved migrating data from Oracle to Hadoop using Sqoop, optimizing Spark jobs for data transformations and machine learning, and developing real-time analytics solutions using Kafka, Spark Streaming, and Hive. Automation of PySpark job scheduling and monitoring with Apache Airflow or custom schedulers ensured efficient and reliable processing.I also designed and optimized Snowflake schemas to support analytics and collaborated with stakeholders to implement data models in Snowflake. In Tableau Prep Builder, I streamlined data preparation workflows, while in Tableau Desktop, I developed visualizations to support business operations. Additionally, I developed enterprise deployment strategies for Power BI, managed metadata and data catalogs, and implemented GitHub workflows for continuous integration to enhance software reliability.

Tampa, Florida, United States

I've developed a range of AWS Lambda functions and API Gateways, utilizing Python for deployment management and public-facing websites on AWS. Additionally, I've created external tables with partitions using Hive, AWS Athena, and Redshift, and developed PySpark code for AWS Glue jobs and EMR. My experience extends to data quality management using Informatica Data Quality (IDQ), data masking and encryption techniques, and ensuring data accuracy and consistency in NoSQL databases.In the Hadoop ecosystem, I've monitored cluster health using Ambari, developed real-time data pipelines with Kafka and Spark Streaming, and utilized PySpark MLlib for machine learning model development. My work with Spark includes orchestrating data workflows with Apache NiFi and Kafka, performing data aggregation and analysis with Scala and Hive, and implementing data synchronization processes with Apache Sqoop. Additionally, I've developed custom monitoring and alerting solutions for Snowflake and integrated it with Power BI for self-service analytics.My expertise in data visualization includes creating interactive dashboards and custom visuals in Power BI, integrating Tableau Prep with various data sources, and developing dashboards in Tableau Desktop. I've also used Git for version control, ensuring effective code management and tracking.

Mumbai, Maharashtra, India

I ensured data quality and integrity by performing data validation, cleansing, and transformation operations using Azure Data Factory and Azure Databricks. My experience includes building data pipelines with Azure services, optimizing Spark jobs in Azure Databricks, and tuning SQL stored procedures within Informatica mappings. I also implemented change data capture (CDC) mechanisms with Informatica PowerCenter to handle incremental data updates and conducted performance tuning on Python applications using SciPy for enhanced memory management and computational efficiency.In my role, I developed and maintained data pipelines using tools like Sqoop, Flume, and Kafka to process customer behavioral data. I created Spark core and Spark SQL scripts using Scala, developed custom PySpark UDFs, and monitored Kafka performance with tools like Kafka Manager and JMX. I also integrated external data sources with Hadoop and utilized Hive queries and Spark SQL for data analysis and transformation, leveraging the big data ecosystems of Hadoop, Spark, and Cloudera to handle large data sets.I have extensive experience with Tableau and Power BI for data visualization and reporting. I integrated Tableau Prep with various data sources and created calculated fields and parameters in Tableau Desktop. In Power BI, I optimized data models, DAX queries, and report designs, and utilized Power BI Dataflow for data ingestion and transformation. Additionally, I maintained source code and enabled version control using GitHub repositories.

Hyderabad, Telangana, India

I have designed and implemented scalable AWS architectures, focusing on data warehousing with AWS Redshift to optimize query performance and accessibility. I have automated data workflows using AWS Lambda to trigger actions based on events, enhancing efficiency in AWS S3, EMR, and RDS environments. Additionally, I have conducted cost optimization exercises using AWS EC2 and RDS Reserved Instances, significantly reducing operational expenses.I have leveraged Python and its libraries, such as Pandas, NumPy, and SciPy, to manipulate and analyze large datasets, ensuring data quality and integrity. My expertise includes optimizing SQL queries by integrating Python scripts, enhancing query performance and database interaction. I have also utilized SAS Data Integration Studio for designing ETL processes, automating data validation, and reconciliation processes across multiple environments.Furthermore, I have managed large datasets using advanced MS Excel functions and generated Power BI ad-hoc reports from various data sources. My experience extends to handling data imports, performing transformations with Hive and MapReduce, and developing interactive Tableau dashboards with parameterized actions and dynamic filters. I have also integrated data from multiple sources into QlikView applications using scripting languages like QlikView Script and SQL.