Vishal Savade

Data Engineer

Pune, Maharashtra, India4 yrs 8 mos experience

Highly Stable

Key Highlights

Expert in migrating applications to Google Cloud Platform.
Proven track record in optimizing BigQuery for cost savings.
Strong background in developing big data automation pipelines.

Stackforce AI infers this person is a Big Data and Cloud Engineering expert in the Fintech and Healthcare sectors.

Contact

Skills

Core Skills

GcpSystems DesignBig Data

Other Skills

BigQueryAirflowBeamWorkflow AutomationData Quality AssuranceApache SparkScalaPythonDataprocGCSCloud FunctionsCICDJenkinsApache AirflowPub-Sub

About

Vishal works as Data engineer in Deutsche Bank Group. Working on migration of on-premise applications, enhancing, optimizing existing architecture and technolgy with Google Cloud Platform And Also worked in MRO Inc. Where I was Responsible for development, management and delivery of Big data's batch automation pipeline. He holds a Bachelors Degree in Information Technology from Pune university's affiliated college Army Institute of Technology, Pune. His core skills are Python, GCP, Backend Design and Systems.

Experience

4 yrs 8 mos

Total Experience

3 yrs

Average Tenure

1 yr 8 mos

Current Experience

Deutsche bank

2 roles

Associate

Feb 2026 – Present · 3 mos · Hybrid

Senior Analyst

Sep 2024 – Feb 2026 · 1 yr 5 mos · Hybrid

Actively working on optimizing existing architectures, modules, and building new requirement with batch and streaming platforms (Airflow and Beam)
Spearheading the migration of a critical module from on-premise infrastructure to Google Cloud Platform (GCP), overseeing the design, development, and workflow automation.
Collaborating with business stakeholders and consumers to gather requirements, define project scope, and ensure seamless delivery.
Leading planning efforts for module migration, including delivery roadmap, requirement analysis, and data quality assurance.
Optimized BigQuery (BQ) queries, resulting in an annual cost savings of approximately €50K.
Transformed hdfs hive queries to BigQuery reducing overall job execution time.
Achivements
Migrating on-premise applications to cloud technologies
Optimised BigQuery’s query to reduce operational costs

GCPBigQueryAirflowBeamWorkflow AutomationData Quality Assurance+1

Mro

2 roles

Analyst - Big Data, Analytics and ML

Oct 2023 – Aug 2024 · 10 mos · Remote

Big Data :
Working as a Big Data Engineer. Involved in multiple projects in our big data pipeline and was responsible for developing spark-scala/python/shell code that processes large size healthcare data and draw meaning out of it. Worked with GCP data tools like Dataproc, Cloud Functions, BigQuery and GCS.
Automated the manual process of deployment, backup and execution of big data pipeline components reducing manual efforts
Implemented a process to read cassandra data and export it into BigQuery
Process data from flat files(parquet) and perform operations in file2CDR datapipeline.
Managing multiple modules present in the batch pipline
Tech Stack Used:
Apache Spark, Scala, Shell, HIVE, PostgreSQL, Cassandra, BigQuery, Dataproc, GCS, Cloud Functions.
CI/CD :
Heading the task of integrating exisiting batch automation pipeline into CICD pipeline with Jenkins and its maintainance. Integrating new Google Cloud Services/tools into CI/CD pipelines like Google Artifact Registry, Secret Manager etc.
Worked on writing shell/Groovy scripts for automation.
Tech Stack Used:
Jenkins, Docker, Kubernetes, GCP, Shell/Groovy Script, GitLab, Jira, Confluence

Apache SparkScalaPythonDataprocBigQueryGCS+5

Associate Software Developer - Big Data

Aug 2021 – Oct 2023 · 2 yrs 2 mos · Remote

Technology: Big Data, Google Cloud Platform, Databases, Automation
Experience:
Working experience of big data batch automation pipeline building, managing and deploying.
Spark/Pyspark applications developments
Worked on cloud functions, Pub-Sub, BigQuery, Cloud Schedulers, Apache Airflow/Composers
Also worked with both SQL and NOSQL Databases like PostgresSql and Cassandra.
Built pipelines to reduces operating costs and reduced executions times
Documented codes, confluence, and experience in JIRA

Big DataGCPApache AirflowPub-SubCloud Functions