βπ»ππ ππππ πππ ππ ππππ
πππ πππ ππππππ ππ ππ ππππππ ππ.β β π¨πππ π²ππAward-winning professional with a track record of success in building large-scale applications with big data technologies. Technical savvy, serving leading clients by delivering cutting-edge solutions and services. ππ₯π’ππ§ππ¬ πππ«π―ππ: ππ’π«π π’π§ ππππ’π, ππππ§πππ«π ππ‘ππ«πππ«ππ πππ§π€, πππ―ππ₯π¨π©π¦ππ§π πππ§π€ π¨π ππ’π§π ππ©π¨π«π, ππ¨π€π’π ππ§π ππ’ππ¦ππ§π¬. My competence has been in big data application development, Unix shell scripting, SQL, PySpark, SparkSQL data warehousing, ETL application development & support, GCP Big Query, GCS, composer (Airflow), cloud function, Dataproc and GCP Databricks (Pyspark, SqarkSql),DBT Providing value to key stakeholders as a specialist in data warehouses β data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools, environments, and data structures. What sets me apart from other technical professionals is my ability to introduce impeccable systems to execute complex workflows in bigdata/GCP pipelines. Skilled trouble-shooter with proficiencies across fine-tuning systems to boost speed, robustness, and cost-efficiency. In-depth understanding of big data technologies, along with expertise in making effective decisions on the use of software products to design the data architecture. πππ πππππ πππππππ: β’ Designed data Ingestion framework and automated several regular daily activities.β’ Participated in migrating data tools from obsolete technology to the latest technology.β’ Led cloud platform development/migration and ELT business logic implementation for Data Marts.β’ Improved data quality/reliability of individual components and the complete system across the banking domain.β’ Validated the mandate data quality and maintained the accuracy of data, designed the end-to-end component.β’ Created a complete solution by integrating a variety of programming languages and tools together.β’ Created data models to reduce system complexities, thereby increasing efficiency and reducing cost.β’ Advised management on the latest technology implementation and benefits of introducing it in the existing system. πππππππππ ππππ
πππππππππ:GCP: Big query, GCS, Databricks: Spark SQL, PySpark, Delta Table, GCP Data Composer with Apache Airflow, GCP Bigquery with dbt, Dataproc,Big Data: Hadoop HDFS, HIVE (Beeline), Analytic SQL | Python, Unix Shell Scripting
Listed skills include Unix, Pl/Sql, Databases, Core Java, and 15 others.